{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":72,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":72,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"d6a9fcf0e65d","filters":{"venue":"Journal of Environmental Informatics"}},"results":[{"id":"W2935557676","doi":"10.3808/jei.201900407","title":"Water Quality Management of a Cold Climate Region Watershed in Changing Climate","year":2019,"lang":"en","type":"article","venue":"Journal of Environmental Informatics","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":101,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Athabasca University","funders":"Alberta Innovates","keywords":"Environmental science; Soil and Water Assessment Tool; Watershed; Climate change; SWAT model; Water quality; Streamflow; Hydrology (agriculture); Water resources; Drainage basin; Ecology; Geography","authors":[{"name":"Narayan Kumar Shrestha","is_ca":true},{"name":"Junye Wang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0114889443619885,"gpt":0.226588672083291,"spread":0.2150997277213025,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002275707,0.0002515918,0.0002568837,0.0003686552,0.001164089,0.001268607,0.0007503318,0.0005372871,0.0004955092],"category_scores_gemma":[0.0003981468,0.000141911,0.0003651231,0.0009396408,0.0006314098,0.0003425943,0.0004897981,0.0003077795,0.00004892408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01178765,"about_ca_system_score_gemma":0.00867014,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8728259,"about_ca_topic_score_gemma":0.8782169,"domain_scores_codex":[0.9998462,0.00001918842,0.000005498964,0.0000378294,0.00003559316,0.00005557228],"domain_scores_gemma":[0.9998566,0.00001891355,0.00002001628,0.00001049983,0.00005354265,0.00004046726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001692259,0.0002220367,0.1982727,0.00003682207,0.00008116419,0.0004773706,0.0003009223,0.7687595,0.01040711,0.001398041,0.001096933,0.01877823],"study_design_scores_gemma":[0.0000435247,0.00006966553,0.1427744,0.00001046374,0.00005971221,0.00003440911,0.0006759465,0.8514665,0.002548887,0.0005471091,0.001718612,0.00005089237],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949974,0.00004650711,0.002779015,0.0001608027,0.000005465308,0.00003249625,0.0003377347,0.00008163708,0.001558982],"genre_scores_gemma":[0.9971709,0.00004558393,0.001997621,0.00001203329,0.000001708477,0.00001106745,0.000263949,0.000005904117,0.0004914175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8728259,"threshold_uncertainty_score":0.255846,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2469034743","doi":"10.3808/jei.201500328","title":"Multi-Soil-Layering Systems for Wastewater Treatment in Small and Remote Communities","year":2015,"lang":"en","type":"article","venue":"Journal of Environmental Informatics","topic":"Constructed Wetlands for Wastewater Treatment","field":"Environmental Science","cited_by":87,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"Higher Education Discipline Innovation Project; National Natural Science Foundation of China","keywords":"Wastewater; Layering; Sewage treatment; Environmental science; Environmental engineering; Population; Process (computing); Waste management; Engineering; Environmental resource management; Civil engineering; Computer science","authors":[{"name":"Chunjiang An","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03611857645797926,"gpt":0.2308933842982062,"spread":0.194774807840227,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002329354,0.0002859252,0.0002259084,0.0004531162,0.0004618971,0.0004842039,0.0005431312,0.0004474685,0.001188073],"category_scores_gemma":[0.0002477116,0.0001149269,0.0002687336,0.0004693112,0.0002165823,0.0004793601,0.0008317834,0.0003415129,0.0003749132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004390324,"about_ca_system_score_gemma":0.0005651482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001360124,"about_ca_topic_score_gemma":0.004580845,"domain_scores_codex":[0.9998252,0.00005092541,0.000008843251,0.00002914661,0.0000618032,0.00002404243],"domain_scores_gemma":[0.9998974,0.00002502407,0.00002489012,0.00001481259,0.00001795954,0.00001983288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001211058,0.0002623774,0.003655778,0.0009415907,0.00004915691,0.000337658,0.0001808869,0.01498093,0.67671,0.005562216,0.002202158,0.2949962],"study_design_scores_gemma":[0.0001067257,0.001584828,0.01747636,0.0002317339,0.0001473138,0.001285401,0.0005213515,0.1954639,0.6856577,0.006975679,0.09040136,0.0001477281],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4091382,0.01024586,0.5656673,0.0008890593,0.0001683268,0.0004586845,0.0004608569,0.002161696,0.01081001],"genre_scores_gemma":[0.8470393,0.003076946,0.144605,0.0001180867,0.00002688159,0.0001708499,0.0002248266,0.00003343413,0.004704732],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001360124,"threshold_uncertainty_score":0.003974497,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2607813080","doi":"10.3808/jei.201500299","title":"Predicting Urban Growth of the Greater Toronto Area - Coupling a Markov Cellular Automata with Document Meta-Analysis","year":2015,"lang":"en","type":"article","venue":"Journal of Environmental Informatics","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":86,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Toronto Metropolitan University","funders":"Alexander von Humboldt-Stiftung","keywords":"Megacity; Metropolitan area; Markov chain; Geography; Urban planning; Regional science; Census; Land use; Cellular automaton; Population growth; Population; Land-use planning; Environmental planning; Computer science; Economic geography; Sociology; Engineering; Civil engineering; Demography; Economics; Economy; Artificial intelligence; Machine learning","authors":[{"name":"Eric Vaz","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0190969437336774,"gpt":0.200907277779869,"spread":0.1818103340461916,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008047164,0.0005997705,0.0005320249,0.0031571,0.0005130916,0.001555991,0.0007204081,0.0006404076,0.0006992602],"category_scores_gemma":[0.00252423,0.0003983232,0.001168909,0.002396164,0.0003663939,0.000681039,0.0005233714,0.0004125096,0.0001218753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004616377,"about_ca_system_score_gemma":0.002349866,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4145716,"about_ca_topic_score_gemma":0.4775627,"domain_scores_codex":[0.9997106,0.00008637839,0.00002953301,0.00009474578,0.00004075536,0.00003796674],"domain_scores_gemma":[0.9983113,0.001162522,0.0001386298,0.00007640212,0.0002276139,0.00008350752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007629857,0.00005294329,0.09460983,0.0001479775,0.0004008234,0.0001416146,0.0002604874,0.8782775,0.0005506437,0.001930942,0.001350328,0.02220061],"study_design_scores_gemma":[0.000003724847,0.00001053199,0.007349108,0.00001395273,0.00006732081,0.00001155187,0.00009098573,0.9911208,0.0001532712,0.0007023414,0.000466353,0.00001012501],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9490411,0.001395958,0.03947608,0.0008435001,0.00004919053,0.00008434636,0.00638334,0.0003179054,0.002408646],"genre_scores_gemma":[0.9869689,0.00023507,0.009829255,0.00002086805,0.00001438476,0.00003637301,0.002279987,0.00001372305,0.0006014913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5854284,"threshold_uncertainty_score":0.8243171,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2054278578","doi":"10.3808/jei.200300005","title":"An Evolutionary Grey, Hop, Skip, and Jump Approach: Generating Alternative Policies for the Expansion of Waste Management","year":2003,"lang":"en","type":"article","venue":"Journal of Environmental Informatics","topic":"Water resources management and optimization","field":"Engineering","cited_by":81,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"","keywords":"Variety (cybernetics); Solid waste management; Mathematical optimization; Municipal solid waste; Computer science; Jump; Operations research; Engineering; Waste management; Mathematics; Artificial intelligence","authors":[{"name":"Julian Scott Yeomans","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01006488776975845,"gpt":0.1911797276396427,"spread":0.1811148398698843,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001257314,0.0004821917,0.0005318365,0.001146145,0.0004391613,0.0005370647,0.0007756611,0.0007522632,0.002464636],"category_scores_gemma":[0.002518389,0.0003546757,0.0006585926,0.0007371636,0.0007543751,0.0008931396,0.001138626,0.0006118582,0.0001098678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007403197,"about_ca_system_score_gemma":0.001113361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003082926,"about_ca_topic_score_gemma":0.003957956,"domain_scores_codex":[0.9995444,0.0002199886,0.00001187439,0.00003807074,0.0001384195,0.0000471008],"domain_scores_gemma":[0.999163,0.0006418091,0.00004638848,0.00003828512,0.00006715526,0.00004333133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003866198,0.0000296633,0.000413315,0.00003007055,0.00002407708,0.00005290547,0.00005305726,0.954846,0.0009145973,0.01982333,0.0001959216,0.02357841],"study_design_scores_gemma":[0.000007313909,0.00002350687,0.00005869803,0.000004050871,0.000005656469,0.000005886517,0.000007991208,0.9921126,0.0003242357,0.007237948,0.0002080691,0.000004028945],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07542747,0.00008359208,0.9186243,0.0003356752,0.00002082393,0.00009236859,0.00004480574,0.0001613458,0.005209636],"genre_scores_gemma":[0.7168086,0.0001457277,0.279909,0.0001072876,0.00001425616,0.0002305239,0.000106128,0.00004735113,0.002631137],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003082926,"threshold_uncertainty_score":0.008244991,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2970768736","doi":"10.3808/jei.201900417","title":"Mathematical Modeling for Identifying Cost-Effective Policy of Municipal Solid Waste Management under Uncertainty","year":2019,"lang":"en","type":"article","venue":"Journal of Environmental Informatics","topic":"Water resources management and optimization","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"Chinese Academy of Sciences","keywords":"Municipal solid waste; Stochastic programming; Term (time); Interval (graph theory); Operations research; Computer science; Risk analysis (engineering); Engineering; Environmental economics; Waste management; Business; Mathematical optimization; Economics; Mathematics","authors":[{"name":"Yongping Li","is_ca":false},{"name":"Guohe Huang","is_ca":true},{"name":"Liang Cui","is_ca":false},{"name":"J. Liu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01762275271818465,"gpt":0.2528771912945165,"spread":0.2352544385763318,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001612504,0.001120391,0.001168711,0.001381151,0.0006417903,0.002026337,0.001371045,0.001660906,0.003281267],"category_scores_gemma":[0.003308194,0.0006887882,0.00114244,0.001686355,0.0009102434,0.002006159,0.001020481,0.001345293,0.0002933345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00292785,"about_ca_system_score_gemma":0.00335546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01668511,"about_ca_topic_score_gemma":0.00867823,"domain_scores_codex":[0.9993238,0.0002862413,0.00003185969,0.00007704535,0.0001593025,0.0001218585],"domain_scores_gemma":[0.9988467,0.0007760784,0.000170762,0.00003012663,0.0001398648,0.00003643605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004631879,0.00000550595,0.0001017769,0.00002025838,0.000005786972,0.00001839858,0.000008642075,0.9873728,0.0000761697,0.01116882,0.0001275368,0.00108966],"study_design_scores_gemma":[0.000002555845,0.00000533652,0.00003616,0.000006184783,0.000004790803,0.000003472242,0.000008995442,0.9950771,0.00005545794,0.004569296,0.0002278125,0.000002795471],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04352809,0.0009265844,0.9369389,0.001160479,0.00007731997,0.0001500938,0.000497076,0.0001929959,0.01652847],"genre_scores_gemma":[0.9184854,0.002387713,0.0707689,0.000120297,0.00007809883,0.0006055612,0.0003782842,0.00008139967,0.007094452],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01668511,"threshold_uncertainty_score":0.03317595,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2965746178","doi":"10.3808/jei.201900416","title":"A Stochastic Hydraulic Modelling Approach to Determining the Probable Maximum Staging of Ice-Jam Floods","year":2019,"lang":"en","type":"article","venue":"Journal of Environmental Informatics","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":51,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"University of Saskatchewan","keywords":"Flood myth; Flooding (psychology); Boundary (topology); Environmental science; Hydraulic structure; Monte Carlo method; Stochastic modelling; Hydrology (agriculture); Geology; Geotechnical engineering; Mathematics; Statistics; Geography","authors":[{"name":"K. E. Lindenschmidt","is_ca":true},{"name":"Prabin Rokaya","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01136964343859961,"gpt":0.1829460812511915,"spread":0.1715764378125919,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000956053,0.0003548432,0.0004589507,0.0007574268,0.0004068239,0.0007807535,0.0009219035,0.0005495331,0.001117223],"category_scores_gemma":[0.003298156,0.0004714579,0.0005627539,0.0006062629,0.0005290739,0.0007081348,0.0006070284,0.0005283338,0.0001197465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009970018,"about_ca_system_score_gemma":0.001465928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01585548,"about_ca_topic_score_gemma":0.01453755,"domain_scores_codex":[0.9995701,0.0001460462,0.00002965739,0.00007990795,0.0001222513,0.00005203664],"domain_scores_gemma":[0.9986957,0.0007448453,0.0002347742,0.00008607996,0.0001876827,0.00005107302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004821688,0.000004004627,0.0004787538,0.000004639038,0.000005278389,0.000009502543,0.00001054391,0.9931537,0.0002542085,0.004189775,0.0000499977,0.001834694],"study_design_scores_gemma":[0.000001033803,0.000002749744,0.0001524121,0.000001186697,0.000001350079,0.000003854973,0.000002493733,0.9980373,0.00006686257,0.001630877,0.00009738842,0.000002528775],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0433343,0.00004090106,0.9540142,0.0001243882,0.00001021456,0.00002863888,0.0001657693,0.0002174526,0.002064137],"genre_scores_gemma":[0.8821728,0.0001215219,0.1153973,0.00004029993,0.0000375762,0.0001525849,0.0003163935,0.00004813909,0.001713473],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01585548,"threshold_uncertainty_score":0.03152639,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2615821693","doi":"10.3808/jei.201700359","title":"An Integrated Risk Analysis Method for Planning Water Resource Systems to Support Sustainable Development of An Arid Region","year":2017,"lang":"en","type":"article","venue":"Journal of Environmental Informatics","topic":"Water resources management and optimization","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina; University of Guelph; University of British Columbia; University of Toronto","funders":"Higher Education Discipline Innovation Project","keywords":"Arid; Water resources; Resource (disambiguation); Resource allocation; Water scarcity; Sustainable development; Environmental economics; Decision support system; Watershed; Environmental resource management; Economic shortage; Business; Water resource management; Risk analysis (engineering); Computer science; Environmental science; Economics","authors":[{"name":"Yongping Li","is_ca":false},{"name":"S. Nie","is_ca":true},{"name":"Charley Huang","is_ca":true},{"name":"Edward A. McBean","is_ca":true},{"name":"Yurui Fan","is_ca":true},{"name":"Guohe Huang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01283235530029745,"gpt":0.2429550240020069,"spread":0.2301226687017094,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001945823,0.001099763,0.0009643289,0.001414428,0.0004249845,0.001287402,0.001138431,0.0006578731,0.003577857],"category_scores_gemma":[0.00392946,0.0007117504,0.001402162,0.0009980039,0.0004203984,0.001287495,0.0009153447,0.001129393,0.0002842677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009404746,"about_ca_system_score_gemma":0.002009313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005955663,"about_ca_topic_score_gemma":0.004473699,"domain_scores_codex":[0.9991391,0.0003848567,0.00004843044,0.0001228378,0.0002301126,0.00007465063],"domain_scores_gemma":[0.9984474,0.0009957926,0.0001528899,0.00006736736,0.0002820898,0.00005446021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003302227,0.00003054795,0.0007471598,0.00005446903,0.00007123443,0.00005274111,0.00006647154,0.9509251,0.001123424,0.01213412,0.0003977664,0.0343641],"study_design_scores_gemma":[0.000005301747,0.00001890359,0.0001033195,0.000008048329,0.00001213802,0.00001321795,0.00001388711,0.9958794,0.0002424002,0.003229988,0.0004675841,0.000005665229],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005251676,0.00006147855,0.9935427,0.0000364008,0.000008952889,0.00003500922,0.00006526769,0.0001215077,0.0008770578],"genre_scores_gemma":[0.2851025,0.0002872206,0.7115279,0.00004507412,0.00003825103,0.0005565722,0.0003424367,0.0001256542,0.001974391],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005955663,"threshold_uncertainty_score":0.01196915,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2885760287","doi":"10.3808/jei.201800388","title":"Ceramic Water Filters: A Point-of-Use Water Treatment Technology to Remove Bacteria from Drinking Water in Longhai City, Fujian Province, China","year":2018,"lang":"en","type":"article","venue":"Journal of Environmental Informatics","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":43,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina; University of Guelph","funders":"United Nations Development Programme","keywords":"Environmental engineering; Environmental science; China; Field trial; Filter (signal processing); Water treatment; Waste management; Engineering; Geography","authors":[{"name":"Cameron Farrow","is_ca":true},{"name":"Edward A. McBean","is_ca":true},{"name":"Guohe Huang","is_ca":true},{"name":"Aili Yang","is_ca":false},{"name":"Y. C. Wu","is_ca":false},{"name":"Zhiqiang Liu","is_ca":false},{"name":"Zhouchao Dai","is_ca":false},{"name":"Taylr Cawte","is_ca":true},{"name":"Yaojie Li","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.00989594435940742,"gpt":0.2382740278328389,"spread":0.2283780834734315,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003493175,0.0004031361,0.0002104317,0.0006217491,0.001641976,0.0003342343,0.0003981245,0.0002865116,0.0009700902],"category_scores_gemma":[0.0001787825,0.000242917,0.0002091595,0.0007723005,0.0005252914,0.0004003446,0.0003402053,0.0001584737,0.00007620945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001801689,"about_ca_system_score_gemma":0.004349775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1449033,"about_ca_topic_score_gemma":0.2633646,"domain_scores_codex":[0.999835,0.00001729484,0.00001384618,0.00004278629,0.00005085787,0.00004020473],"domain_scores_gemma":[0.9999131,0.00001066828,0.00002197079,0.00000358977,0.00002618763,0.00002449065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005755874,0.001764961,0.6470789,0.001729163,0.00009895543,0.006464442,0.02041755,0.004774674,0.1435378,0.001843791,0.002652943,0.1690613],"study_design_scores_gemma":[0.00003619405,0.001368436,0.9579617,0.00008506321,0.00006757975,0.0009889018,0.01443815,0.003373966,0.01189076,0.0002300216,0.00949808,0.00006115257],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987212,0.0001973696,0.000277733,0.0001020081,0.000002773611,0.00004370093,0.00002902486,0.000005558562,0.0006206178],"genre_scores_gemma":[0.9938454,0.0004889126,0.002133947,0.00004087139,0.000003594424,0.00003245399,0.00009238988,0.000002910853,0.003359481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1449033,"threshold_uncertainty_score":0.2881197,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1996959054","doi":"10.3808/jei.200300006","title":"Correlation between Global Emissions of α-hexachlorocyclohexane and Its Concentrations in the Arctic Air","year":2003,"lang":"en","type":"article","venue":"Journal of Environmental Informatics","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":43,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Arctic; Environmental science; The arctic; Hexachlorocyclohexane; Correlation coefficient; Atmospheric sciences; Positive correlation; Air pollution; Range (aeronautics); Climatology; Chemistry; Statistics; Oceanography; Mathematics; Geology; Ecology; Engineering","authors":[{"name":"Y. F. Li","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01049334606935026,"gpt":0.2344444534076232,"spread":0.2239511073382729,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001466581,0.0001082905,0.0001047042,0.0003977906,0.00008398459,0.0003301496,0.00003799973,0.00008262534,0.0008011528],"category_scores_gemma":[0.0004971294,0.00007737531,0.000126694,0.0004906691,0.0001178459,0.00009955263,0.000119806,0.0001105544,0.0001506398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000193365,"about_ca_system_score_gemma":0.0001477795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01245345,"about_ca_topic_score_gemma":0.01572201,"domain_scores_codex":[0.9999294,0.00001301263,0.000005474759,0.00002344587,0.0000165815,0.00001202671],"domain_scores_gemma":[0.9996662,0.00009737765,0.00008583088,0.00001902175,0.0001066339,0.00002494929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004464635,0.000005498131,0.9912664,0.00001062701,0.00008880875,0.00004549727,0.00005506861,0.001530065,0.003327077,0.00003478182,0.0001104646,0.003480985],"study_design_scores_gemma":[7.506173e-7,0.00001072802,0.9986796,0.000001887504,0.00001471673,0.00004678444,0.00005489791,0.0003059148,0.0005844317,0.00002092934,0.0002780148,0.000001344824],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984838,0.0001111813,0.0001772051,0.00001157137,0.00000305775,0.000001260365,0.0003839566,0.000006053727,0.0008217796],"genre_scores_gemma":[0.998318,0.0001847642,0.0002228801,0.00000855555,0.000004570472,0.000002046589,0.0008998456,0.000002991435,0.0003564308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01245345,"threshold_uncertainty_score":0.02476192,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2791207105","doi":"10.3808/jei.201700368","title":"Application of Object Oriented Image Classification and Markov Chain Modeling for Land Use and Land Cover Change Analysis","year":2018,"lang":"en","type":"article","venue":"Journal of Environmental Informatics","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":41,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Northern British Columbia; University of British Columbia","funders":"","keywords":"Watershed; Land cover; Markov chain; Wetland; Land use; Cover (algebra); Remote sensing; Environmental science; Computer science; Geography; Machine learning; Ecology; Engineering","authors":[{"name":"Siddhartho Shekhar Paul","is_ca":true},{"name":"Jianbing Li","is_ca":true},{"name":"Roger Wheate","is_ca":true},{"name":"Y. Li","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01841872277554596,"gpt":0.230288999265472,"spread":0.211870276489926,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008910826,0.000529946,0.0004024175,0.002009815,0.0003304055,0.0007454296,0.000458802,0.0004482577,0.0009475238],"category_scores_gemma":[0.002191814,0.0002676397,0.0007134689,0.001054181,0.0002798015,0.0005416016,0.0004107978,0.0003981485,0.0001417798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000999906,"about_ca_system_score_gemma":0.001151882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0288338,"about_ca_topic_score_gemma":0.0185687,"domain_scores_codex":[0.9997008,0.0001009417,0.00002131563,0.00006099588,0.00008028118,0.00003564427],"domain_scores_gemma":[0.9990081,0.0006127952,0.0001451265,0.00004919407,0.0001421173,0.00004267497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009729616,0.0001459731,0.01710369,0.00005742691,0.0001427305,0.0001064925,0.0001158038,0.8538784,0.00279213,0.005673569,0.0004538203,0.1194327],"study_design_scores_gemma":[0.00000144978,0.000005859377,0.0005660891,0.000001829879,0.000005080104,0.000005310405,0.00000592441,0.9984896,0.0002292096,0.0006108969,0.00007585494,0.00000289928],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1219517,0.0001279693,0.8749365,0.0001122241,0.00002712417,0.0001418743,0.0002570017,0.000965984,0.001479584],"genre_scores_gemma":[0.7621658,0.0001224781,0.2362638,0.00003970841,0.00002148508,0.0001954298,0.0003613895,0.00004675262,0.0007831614],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0288338,"threshold_uncertainty_score":0.05733198,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3014436420","doi":"10.3808/jei.202000429","title":"Variation of Runoff and Sediment Transport in the Huai River – A Case Study","year":2020,"lang":"en","type":"article","venue":"Journal of Environmental Informatics","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":41,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Northern British Columbia; University of Regina","funders":"","keywords":"Surface runoff; Hydrology (agriculture); Sediment; Watershed; Environmental science; Estuary; Sedimentary budget; Floodplain; Sediment transport; Deposition (geology); Channel (broadcasting); Geology; Geography; Geomorphology; Ecology; Oceanography","authors":[{"name":"Bofu Yu","is_ca":false},{"name":"Pute Wu","is_ca":true},{"name":"J. Sui","is_ca":true},{"name":"Jiupai Ni","is_ca":false},{"name":"T. Whitcombe","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01133400531839415,"gpt":0.2070698415158259,"spread":0.1957358361974318,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003952538,0.0001440608,0.0002532158,0.0008968785,0.0003762394,0.0004183552,0.0002842544,0.0003250393,0.0004786829],"category_scores_gemma":[0.0007203302,0.0001639249,0.0003214994,0.001743449,0.0003675405,0.0003711594,0.0002846998,0.0002190112,0.00005576212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001290901,"about_ca_system_score_gemma":0.0003915252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06314749,"about_ca_topic_score_gemma":0.06013586,"domain_scores_codex":[0.999805,0.0000414499,0.00001737152,0.0000527213,0.00003584041,0.00004756313],"domain_scores_gemma":[0.9994839,0.0001913277,0.00009551303,0.00005943459,0.0001046763,0.0000650343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002121547,0.0003974915,0.9586677,0.00005128178,0.0001994353,0.004043153,0.001733932,0.01496806,0.003361036,0.0005520034,0.0006860526,0.01512775],"study_design_scores_gemma":[0.000007823989,0.0001022332,0.9838884,0.000004795525,0.00004065112,0.000310742,0.0009022318,0.01296114,0.000872909,0.0001000124,0.0007884422,0.00002065107],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993985,0.00001837017,0.0001197782,0.00001270137,7.069244e-7,0.000004906415,0.0001237111,0.000005269098,0.0003160692],"genre_scores_gemma":[0.9991807,0.00003320316,0.0002675311,0.000005382025,0.000002920909,0.000007734021,0.0002955112,0.000001746721,0.0002050756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06314749,"threshold_uncertainty_score":0.1255599,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3200990497","doi":"10.3808/jei.201700372","title":"Inexact Fuzzy Stochastic Chance Constraint Programming for Emergency Evacuation in Qinshan Nuclear Power Plant under Uncertainty","year":2017,"lang":"en","type":"article","venue":"Journal of Environmental Informatics","topic":"Water resources management and optimization","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto; University of British Columbia","funders":"","keywords":"Nuclear power plant; Nuclear power; Randomness; Fuzzy logic; Stochastic programming; Operations research; Population; Interval (graph theory); Mathematical optimization; Emergency management; Computer science; Constraint (computer-aided design); Engineering; Mathematics; Statistics; Economics; Artificial intelligence","authors":[{"name":"C. Z. Huang","is_ca":true},{"name":"Song Nie","is_ca":true},{"name":"Lin Guo","is_ca":false},{"name":"Yurui Fan","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01341377176510494,"gpt":0.2165251991423625,"spread":0.2031114273772575,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018335,0.001082868,0.001467257,0.0006136245,0.000626358,0.001614128,0.0009032902,0.001084516,0.001591028],"category_scores_gemma":[0.003047118,0.0006095875,0.001034512,0.0008300371,0.0009481843,0.000923288,0.000985281,0.001160965,0.0000666509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001583739,"about_ca_system_score_gemma":0.002646412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02393544,"about_ca_topic_score_gemma":0.01261044,"domain_scores_codex":[0.9991597,0.0003756861,0.00003586171,0.0001334421,0.0001544488,0.0001408076],"domain_scores_gemma":[0.998151,0.001417378,0.0001560011,0.00002450159,0.000179246,0.0000719498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001547046,0.000006446744,0.0001487151,0.0000204042,0.000009627079,0.00004481025,0.00001476965,0.9959698,0.00009404898,0.002190419,0.00008602432,0.001399485],"study_design_scores_gemma":[0.000003311865,0.000007918828,0.00005485194,0.000002890614,0.000003802287,0.000003366674,0.000007974431,0.9989078,0.00004538348,0.0009078835,0.00005217274,0.000002552355],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1315813,0.001021505,0.8598021,0.000674653,0.00008237208,0.0001136797,0.0001735437,0.0001064684,0.006444383],"genre_scores_gemma":[0.9512961,0.0005905584,0.04535924,0.00009340455,0.0000416795,0.0001969633,0.0001364463,0.00002916547,0.002256396],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02393544,"threshold_uncertainty_score":0.04759222,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2325010507","doi":"10.3808/jei.201000180","title":"Inexact Piecewise Quadratic Programming for Waste Flow Allocation under Uncertainty and Nonlinearity","year":2010,"lang":"en","type":"article","venue":"Journal of Environmental Informatics","topic":"Water resources management and optimization","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"","keywords":"Mathematical optimization; Quadratic equation; Piecewise; Quadratic programming; Piecewise linear function; Nonlinear system; Linear programming; Economies of scale; Scale (ratio); Nonlinear programming; Computer science; Mathematics; Economics","authors":[{"name":"Wei Sun","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.00601473099499886,"gpt":0.1909291232439968,"spread":0.1849143922489979,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001379995,0.0009202881,0.001154196,0.0004098368,0.0004343261,0.001146765,0.0008867567,0.0009509719,0.002248805],"category_scores_gemma":[0.003175658,0.0005997228,0.0009126972,0.0007831962,0.0007959703,0.001087902,0.0009569406,0.001766176,0.0002516825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001056381,"about_ca_system_score_gemma":0.001618162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01217504,"about_ca_topic_score_gemma":0.004474268,"domain_scores_codex":[0.999373,0.0002846717,0.00002402327,0.00009846674,0.000147304,0.00007253153],"domain_scores_gemma":[0.9986457,0.0009694368,0.0001093587,0.00004805378,0.0001903279,0.00003706604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001113784,0.000004468242,0.00006562134,0.00002830336,0.000005042461,0.00001605284,0.00001519751,0.9932938,0.0002581511,0.002007789,0.0001130778,0.00418145],"study_design_scores_gemma":[9.115038e-7,0.000004168505,0.00001764545,0.000001700609,0.000001353446,0.00000214558,0.000003854439,0.9989008,0.00008005735,0.0008874947,0.00009856279,0.000001291446],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00877835,0.0002264737,0.9894472,0.0001304507,0.00001616895,0.00001410903,0.00003530914,0.0001590267,0.001192857],"genre_scores_gemma":[0.740101,0.001013499,0.2524346,0.0001419491,0.00006439496,0.0002245415,0.0002377844,0.0002187395,0.005563436],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01217504,"threshold_uncertainty_score":0.02420837,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2330568638","doi":"10.3808/jei.201500326","title":"An Inexact Credibility Chance-Constrained Integer Programming for Greenhouse Gas Mitigation Management in Regional Electric Power System under Uncertainty","year":2016,"lang":"en","type":"article","venue":"Journal of Environmental Informatics","topic":"Water resources management and optimization","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Greenhouse gas; Credibility; Interval (graph theory); Mathematical optimization; Electric power system; Electric power; Function (biology); Operations research; Integer programming; Fuzzy logic; Reliability (semiconductor); Linear programming; Computer science; Power (physics); Reliability engineering; Engineering; Mathematics; Artificial intelligence","authors":[{"name":"W. Li","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008422026389056309,"gpt":0.1993924834913249,"spread":0.1909704571022685,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002306124,0.001265483,0.001092442,0.0007645794,0.0004615608,0.001774962,0.001012866,0.001288182,0.001951429],"category_scores_gemma":[0.005595582,0.0007811997,0.001052927,0.0007994639,0.0008777781,0.001125893,0.001147604,0.001823193,0.0001398451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001153997,"about_ca_system_score_gemma":0.001545173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006689666,"about_ca_topic_score_gemma":0.00448863,"domain_scores_codex":[0.9991046,0.0004477961,0.0000352393,0.0001433659,0.0001683714,0.0001005647],"domain_scores_gemma":[0.9973373,0.002144799,0.0001949937,0.00005039002,0.0002063555,0.00006608373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001670313,0.000008730227,0.0001205362,0.00003084617,0.00001137318,0.0000441288,0.00001859311,0.9923208,0.000209744,0.004605074,0.0001056656,0.002507729],"study_design_scores_gemma":[0.000001987183,0.000006557294,0.000021812,0.000004066165,0.000002664945,0.000003358532,0.00000453051,0.998605,0.0000669816,0.001221242,0.0000598994,0.00000199042],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02902752,0.0003669769,0.9652933,0.0002868832,0.00003778044,0.0000749083,0.00009701067,0.00008164001,0.004733917],"genre_scores_gemma":[0.8242956,0.0005326286,0.1720284,0.0001124637,0.00005923807,0.000326477,0.0001613115,0.00006843302,0.002415288],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006689666,"threshold_uncertainty_score":0.01330143,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2059864868","doi":"10.3808/jei.200400024","title":"Measuring Spatial and Vertical Heterogeneity of Grasslands Using Remote Sensing Techniques","year":2004,"lang":"en","type":"article","venue":"Journal of Environmental Informatics","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Parks Canada","keywords":"Grassland; Grazing; Remote sensing; Spatial heterogeneity; Environmental science; Habitat; Thematic map; Grassland degradation; Geography; Thematic Mapper; Spatial variability; Ecology; Cartography; Satellite imagery","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.01926073504758622,"gpt":0.2363526418285216,"spread":0.2170919067809353,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003052148,0.0002186647,0.0001548171,0.002442078,0.0001968022,0.000361256,0.0001519848,0.0001672431,0.0003353351],"category_scores_gemma":[0.0005084794,0.0001482891,0.0001592749,0.001251235,0.000148223,0.0003243335,0.0002395276,0.00008182821,0.00006485204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002531216,"about_ca_system_score_gemma":0.0001679473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01586349,"about_ca_topic_score_gemma":0.03207764,"domain_scores_codex":[0.9997318,0.00003698235,0.00001907028,0.00006374067,0.0001117795,0.0000366166],"domain_scores_gemma":[0.9996675,0.00009641601,0.0001191974,0.00002246496,0.00006583427,0.00002859586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002760745,0.0001132572,0.7011943,0.0001415031,0.0002171414,0.0002002483,0.0004451898,0.008628007,0.1801454,0.0001938894,0.000180325,0.1082647],"study_design_scores_gemma":[0.000006583819,0.00006515173,0.9875859,0.000006559527,0.0000286808,0.0001533483,0.0001674926,0.009167739,0.002582512,0.00006569635,0.0001576205,0.00001262315],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925425,0.0001245739,0.006311613,0.000007058193,0.000001134694,0.00002768345,0.0002625586,0.00004199147,0.0006807937],"genre_scores_gemma":[0.9909394,0.00005484842,0.008607184,0.000008912883,0.000003297682,0.00001942408,0.000259371,0.000003436435,0.0001042425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01586349,"threshold_uncertainty_score":0.0315423,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3186034734","doi":"10.3808/jei.202100462","title":"Parameter Uncertainty and Sensitivity Evaluation of Copula-Based Multivariate Hydroclimatic Risk Assessment","year":2021,"lang":"en","type":"article","venue":"Journal of Environmental Informatics","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"Royal Society","keywords":"Copula (linguistics); Multivariate statistics; Bivariate analysis; Flood myth; Econometrics; Environmental science; Multivariate analysis; Risk assessment; Statistics; Uncertainty analysis; Mathematics; Computer science; Geography","authors":[{"name":"Kunlun Huang","is_ca":true},{"name":"Yurui Fan","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01464176795163289,"gpt":0.2745791456558757,"spread":0.2599373777042428,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006915752,0.001246446,0.0007842298,0.001868672,0.0003882689,0.001279385,0.0008245219,0.0009056786,0.0009653879],"category_scores_gemma":[0.01463164,0.0005342792,0.001314852,0.0008838818,0.0007209068,0.001499281,0.001759592,0.001070914,0.00009804216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001106485,"about_ca_system_score_gemma":0.0008818976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006139468,"about_ca_topic_score_gemma":0.002385265,"domain_scores_codex":[0.9968584,0.001779764,0.0001296016,0.0003561711,0.0006770908,0.0001989413],"domain_scores_gemma":[0.9925717,0.005660294,0.0005151934,0.0004743488,0.0006793935,0.00009915174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002910822,0.00001234416,0.001930914,0.000026155,0.00006878193,0.00005635371,0.00002285657,0.9896103,0.0004288712,0.002276328,0.00008920819,0.005448764],"study_design_scores_gemma":[0.000001765414,0.00001523354,0.0006538403,0.000005913259,0.00001099351,0.0000187285,0.00001062232,0.9972035,0.0003917699,0.001601875,0.00007599479,0.000009785019],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2883946,0.0008465722,0.7052964,0.0003818119,0.00003559002,0.0001334437,0.0003524165,0.0003252898,0.00423384],"genre_scores_gemma":[0.9820544,0.0001898017,0.01721098,0.00003816172,0.00001179132,0.00005531999,0.0001534157,0.00002813182,0.0002579846],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006915752,"threshold_uncertainty_score":0.03657442,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2614734067","doi":"10.3808/jei.201500312","title":"Interval Recourse Linear Programming for Resources and Environmental Systems Management under Uncertainty","year":2015,"lang":"en","type":"article","venue":"Journal of Environmental Informatics","topic":"Water resources management and optimization","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"Higher Education Discipline Innovation Project","keywords":"Linear programming; Constraint programming; Interval (graph theory); Mathematical optimization; Constraint (computer-aided design); Constraint satisfaction; Mathematics; Interval arithmetic; Space (punctuation); Measure (data warehouse); Computer science; Data mining; Stochastic programming; Statistics","authors":[{"name":"Guanhui Cheng","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01447003779250999,"gpt":0.2007042320733172,"spread":0.1862341942808072,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001913421,0.001221537,0.001283345,0.0008510675,0.0004939006,0.001650377,0.001402435,0.001213754,0.002550722],"category_scores_gemma":[0.003040236,0.000558464,0.001141947,0.001464424,0.0007870829,0.001289341,0.001317153,0.002009054,0.0002689135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001272067,"about_ca_system_score_gemma":0.002117198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006013315,"about_ca_topic_score_gemma":0.005249209,"domain_scores_codex":[0.9985246,0.0008226117,0.00005235859,0.0001796335,0.0002808267,0.0001400497],"domain_scores_gemma":[0.9988567,0.0007702501,0.000133255,0.00004115555,0.0001597962,0.00003887628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001918887,0.0000283687,0.0001533634,0.00009162246,0.00002918057,0.00006907102,0.00004760528,0.9527531,0.0003036092,0.02886103,0.0005952071,0.0170486],"study_design_scores_gemma":[0.000004579299,0.00002950594,0.00004031996,0.00001598152,0.000008734674,0.00001187995,0.0000179572,0.9850982,0.0001534112,0.0137,0.0009126099,0.000006848815],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004507879,0.0006703467,0.9902715,0.0001991328,0.0000230743,0.00004496872,0.00004973128,0.00007440714,0.004158893],"genre_scores_gemma":[0.5400949,0.002661315,0.4490915,0.0002171991,0.0001658579,0.0007057837,0.000327512,0.0001177878,0.006618225],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006013315,"threshold_uncertainty_score":0.01195663,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2026496017","doi":"10.3808/jei.200300012","title":"Automated Road Extraction from Satellite Imagery Using Hybrid Genetic Algorithms and Cluster Analysis","year":2003,"lang":"en","type":"article","venue":"Journal of Environmental Informatics","topic":"Automated Road and Building Extraction","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cluster analysis; Computer science; Artificial intelligence; Segmentation; Satellite imagery; Data mining; Genetic algorithm; Cluster (spacecraft); Satellite; Pattern recognition (psychology); Computer vision; Machine learning; Geography; Remote sensing; Engineering","authors":[{"name":"H. Liu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007370731714605813,"gpt":0.2208618356416281,"spread":0.2134911039270223,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000637934,0.0008406714,0.0008334352,0.001848734,0.0005151547,0.0008067279,0.00100872,0.0008472303,0.0007601826],"category_scores_gemma":[0.00167803,0.0003961418,0.0008189509,0.001301482,0.0005325183,0.0008616286,0.0005661875,0.0005346658,0.0003380795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006784016,"about_ca_system_score_gemma":0.0006388315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008093994,"about_ca_topic_score_gemma":0.009847968,"domain_scores_codex":[0.9995066,0.0001208448,0.00002235272,0.0001304056,0.0001778616,0.000041904],"domain_scores_gemma":[0.9993918,0.0002772223,0.0000806875,0.00008276197,0.0001489842,0.00001850968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000942661,0.0001085028,0.002570404,0.0000950726,0.0001715917,0.0001087381,0.0001792124,0.5682511,0.02074458,0.004818679,0.0007191779,0.4021388],"study_design_scores_gemma":[0.00001397643,0.00003415937,0.001366544,0.000008410654,0.00002378369,0.00004779163,0.00003708552,0.9880396,0.005752997,0.003890748,0.000768066,0.00001686951],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03392534,0.00008061962,0.9641023,0.00005537894,0.000009865807,0.00005062165,0.00003385889,0.0008082308,0.0009337236],"genre_scores_gemma":[0.1894545,0.00009222454,0.808783,0.00004462844,0.00001671735,0.00009159065,0.0001534057,0.0001382177,0.001225727],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008093994,"threshold_uncertainty_score":0.01609373,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3183414567","doi":"10.3808/jei.202100459","title":"A Non-Deterministic Integrated Optimization Model with Risk Measure for Identifying Water Resources Management Strategy","year":2021,"lang":"en","type":"article","venue":"Journal of Environmental Informatics","topic":"Water resources management and optimization","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary; University of Alberta; University of Toronto","funders":"","keywords":"Measure (data warehouse); Risk measure; Risk analysis (engineering); Computer science; Operations research; Data mining; Engineering; Business","authors":[{"name":"Song Nie","is_ca":true},{"name":"C. Z. Huang","is_ca":true},{"name":"Wei Huang","is_ca":true},{"name":"Jiayan Liu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01119276701009978,"gpt":0.1903301743204704,"spread":0.1791374073103706,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001160337,0.001132166,0.001094674,0.0008697208,0.0006214503,0.001712237,0.001489371,0.001526689,0.002427166],"category_scores_gemma":[0.002074075,0.0007623368,0.001261015,0.000925302,0.0007657587,0.001252055,0.00117895,0.001398686,0.0002363086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001579957,"about_ca_system_score_gemma":0.002175957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01983416,"about_ca_topic_score_gemma":0.01112336,"domain_scores_codex":[0.999369,0.0002009351,0.00003620931,0.0001645242,0.0001346858,0.00009466997],"domain_scores_gemma":[0.9993287,0.0003857709,0.0001087253,0.00002241038,0.0001215252,0.00003280836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000585385,0.00000663892,0.0002249567,0.0000120333,0.00001196254,0.00001966066,0.00001321753,0.9947785,0.00008813348,0.003163326,0.00007920346,0.001596477],"study_design_scores_gemma":[0.000002480378,0.000005790329,0.00005473202,0.000002213621,0.000005245584,0.000004049281,0.00000385261,0.9984792,0.0000337952,0.001301253,0.0001047362,0.000002631362],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02975064,0.0003325439,0.9623952,0.0003312348,0.00004360617,0.0000743806,0.0001690716,0.0001436388,0.006759639],"genre_scores_gemma":[0.9248945,0.0006297408,0.06656566,0.00009945784,0.00004443705,0.0004975995,0.0002957001,0.00004930784,0.006923662],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01983416,"threshold_uncertainty_score":0.03943741,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2606562683","doi":"10.3808/jei.201600345","title":"Short-Term Peak Flow Rate Prediction and Flood Risk Assessment Using Fuzzy Linear Regression","year":2016,"lang":"en","type":"article","venue":"Journal of Environmental Informatics","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Statistics; Calibration; Flood myth; Linear regression; Fuzzy logic; Regression; Sensitivity (control systems); Mathematics; Computer science; Engineering; Artificial intelligence; Geography","authors":[{"name":"Usman T. Khan","is_ca":true},{"name":"Caterina Valeo","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01863159027811807,"gpt":0.2574322653758139,"spread":0.2388006750976959,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001601297,0.0006892765,0.0005538136,0.001235273,0.0002692057,0.0009550324,0.0009563846,0.0006412782,0.0005658641],"category_scores_gemma":[0.003034596,0.0003087829,0.0006333795,0.0007871557,0.0002879479,0.0007933597,0.0003630041,0.0005849531,0.0001301559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001160709,"about_ca_system_score_gemma":0.001065257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0590581,"about_ca_topic_score_gemma":0.03817821,"domain_scores_codex":[0.9994088,0.000126739,0.00004159486,0.0001597206,0.0002060997,0.00005706614],"domain_scores_gemma":[0.9991148,0.0004547237,0.0001438789,0.00003867611,0.0002208418,0.0000271196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001174393,0.00005879039,0.009935739,0.00003793053,0.00006808282,0.00007630952,0.00005050846,0.9211993,0.003069465,0.0007938885,0.0002792937,0.06431317],"study_design_scores_gemma":[0.000002437561,0.00002223568,0.00189991,0.000003251233,0.000006946469,0.000008989338,0.00001032186,0.9972024,0.0005485573,0.000207377,0.00007903285,0.000008603109],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3914214,0.0004387272,0.6043115,0.0002340193,0.0000319079,0.00006095084,0.0003240557,0.00112892,0.002048484],"genre_scores_gemma":[0.9494008,0.0001092644,0.04910961,0.00001897948,0.00001009889,0.00002884027,0.0001716858,0.00001729856,0.001133478],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0590581,"threshold_uncertainty_score":0.1174287,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2461751476","doi":"10.3808/jei.201600329","title":"Sorption of Phenanthrene onto Diatomite under the Influences of Solution Chemistry: A Study of Linear Sorption based on Maximal Information Coefficient","year":2016,"lang":"en","type":"article","venue":"Journal of Environmental Informatics","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University; University of Regina","funders":"","keywords":"Sorption; Phenanthrene; Aqueous solution; Sorbent; Chemistry; Ionic strength; Freundlich equation; Partition coefficient; Environmental chemistry; Chemical engineering; Adsorption; Organic chemistry","authors":[{"name":"Shan Zhao","is_ca":true},{"name":"Wendy Huang","is_ca":true},{"name":"Xiuquan Wang","is_ca":true},{"name":"Yurui Fan","is_ca":true},{"name":"Chunjiang An","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009782831685688461,"gpt":0.2149733678905046,"spread":0.2051905362048162,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002142255,0.0002860907,0.0002563139,0.0001588774,0.0001720299,0.0002916917,0.0002084617,0.0002273425,0.0005464614],"category_scores_gemma":[0.0003782594,0.0001600436,0.0002268564,0.0002254987,0.0002287367,0.000335589,0.0001819132,0.0003521011,0.0001096016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003367691,"about_ca_system_score_gemma":0.0002316509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002484871,"about_ca_topic_score_gemma":0.00278233,"domain_scores_codex":[0.9998403,0.00002501496,0.000008071967,0.00004297512,0.00005951779,0.00002408594],"domain_scores_gemma":[0.9998525,0.00006385284,0.00002830803,0.000006569031,0.00003815908,0.0000105991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007856151,0.00001785269,0.000676852,0.00004772141,0.00000612302,0.00002447202,0.00001698156,0.0002954925,0.9974124,0.00004241917,0.000009927522,0.001371252],"study_design_scores_gemma":[0.000007151503,0.0001973269,0.005541566,0.000002037313,0.00001307669,0.00004645105,0.0000294687,0.005877163,0.9879186,0.00004118822,0.0003172165,0.00000878132],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968087,0.0003613964,0.002082836,0.00002235074,0.000004420584,0.00001228152,0.00006673709,0.000008592308,0.0006326596],"genre_scores_gemma":[0.997874,0.0004315835,0.001150315,0.00001193426,0.000002628872,0.00000986386,0.0000767347,0.000004044388,0.0004389789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002484871,"threshold_uncertainty_score":0.004940808,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2615162136","doi":"10.3808/jei.201500302","title":"Modelling Dependence between Traffic Noise and Traffic Flow through An Entropy-Copula Method","year":2015,"lang":"en","type":"article","venue":"Journal of Environmental Informatics","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Regina","funders":"","keywords":"Copula (linguistics); Principle of maximum entropy; Mathematics; Joint probability distribution; Traffic noise; Statistics; Marginal distribution; Entropy (arrow of time); Conditional probability distribution; Statistical physics; Econometrics; Computer science; Physics; Noise reduction; Artificial intelligence; Random variable","authors":[{"name":"Kai Huang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02892773540345221,"gpt":0.2664120312015783,"spread":0.2374842957981261,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001998813,0.001297663,0.0008559206,0.001611741,0.0004508327,0.000994422,0.001314837,0.0008823806,0.00120444],"category_scores_gemma":[0.005151255,0.0006805488,0.001418182,0.001212391,0.0008291648,0.001759419,0.001036297,0.001125046,0.0002477669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009149209,"about_ca_system_score_gemma":0.001375317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01495776,"about_ca_topic_score_gemma":0.007369351,"domain_scores_codex":[0.9987367,0.0004461162,0.00005823745,0.0003167969,0.0003151017,0.000127039],"domain_scores_gemma":[0.9983513,0.0009850807,0.0002259034,0.0001175278,0.0002740068,0.00004625458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000261517,0.00003046929,0.002934957,0.00004777565,0.0000963557,0.0001287967,0.00006905652,0.9688685,0.001384477,0.01244514,0.0003169401,0.01365132],"study_design_scores_gemma":[0.000001329571,0.000006495325,0.0005693499,0.000002853744,0.000008073809,0.00001493336,0.000006344976,0.9967596,0.0001893011,0.002281351,0.0001528792,0.000007444065],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0192135,0.0001072599,0.9795043,0.00004779981,0.00001329495,0.00003522705,0.0000929281,0.0001069009,0.0008788017],"genre_scores_gemma":[0.8652418,0.0005407106,0.1299406,0.00009346673,0.0000779391,0.000239701,0.0005287991,0.0001569454,0.003179812],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01495776,"threshold_uncertainty_score":0.02974141,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2768460349","doi":"10.3808/jei.201700371","title":"Comparing A Bayesian and Fuzzy Number Approach to Uncertainty Quantification in Short-Term Dissolved Oxygen Prediction","year":2017,"lang":"en","type":"article","venue":"Journal of Environmental Informatics","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; University of Victoria","keywords":"Bayesian probability; Fuzzy logic; Autoregressive model; Measure (data warehouse); Statistics; Mean squared error; Computer science; Term (time); Regression analysis; Data mining; Bayesian inference; Mathematics; Artificial intelligence","authors":[{"name":"Usman T. Khan","is_ca":true},{"name":"Caterina Valeo","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03718616984858123,"gpt":0.2641015648210241,"spread":0.2269153949724429,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003002003,0.0007291645,0.0006869847,0.001133905,0.0002933323,0.001115344,0.001005731,0.0008922049,0.0006060752],"category_scores_gemma":[0.007319226,0.0003593442,0.0006992739,0.0006281775,0.0004459737,0.001869192,0.0007193798,0.0006338248,0.0001321877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001128906,"about_ca_system_score_gemma":0.001054898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02030236,"about_ca_topic_score_gemma":0.01419521,"domain_scores_codex":[0.9990124,0.0003656396,0.00006697679,0.0001436284,0.0003626783,0.00004874409],"domain_scores_gemma":[0.9970061,0.00200562,0.0001806502,0.0001144257,0.0006198245,0.00007342226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002404209,0.00007941164,0.004055492,0.00008594343,0.0001227023,0.00003430049,0.00006695171,0.8948542,0.002075574,0.003746707,0.0003011866,0.09433702],"study_design_scores_gemma":[0.000006758243,0.00003270859,0.0008773025,0.000007116818,0.00001182166,0.000008221719,0.00001144356,0.9973585,0.0005426172,0.0009708025,0.0001584339,0.00001412181],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2489202,0.001125191,0.7431709,0.0006212892,0.0001101356,0.00008671991,0.0002033989,0.0005744183,0.005187673],"genre_scores_gemma":[0.8617952,0.0003753425,0.1361621,0.00009097944,0.00004704986,0.00006850311,0.0002004532,0.00004457251,0.001215645],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02030236,"threshold_uncertainty_score":0.04036838,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2955545963","doi":"10.3808/jei.201900415","title":"Spatio-Temporal Characteristics and Source Apportionment of Water Pollutants in Upper Reaches of Maotiao River, Southwest of China, from 2003 to 2015","year":2019,"lang":"en","type":"article","venue":"Journal of Environmental Informatics","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Environmental science; Water quality; Pollutant; Biochemical oxygen demand; Pollution; Hydrology (agriculture); Chemical oxygen demand; Hydropower; Apportionment; Water resources; China; Yangtze river; Environmental engineering; Water resource management; Geography; Sewage treatment; Ecology","authors":[{"name":"Hen‐Wei Wei","is_ca":false},{"name":"Muhammad Hassan","is_ca":false},{"name":"Yue Che","is_ca":false},{"name":"Q. K. Peng","is_ca":false},{"name":"Ying Su","is_ca":false},{"name":"Bing Xie","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009349200617843353,"gpt":0.2209171088714404,"spread":0.211567908253597,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002792793,0.0002367598,0.0002464621,0.001159991,0.000444886,0.0004160742,0.0002787715,0.0002332359,0.0004756842],"category_scores_gemma":[0.0005318411,0.0001576225,0.000395283,0.001849189,0.0003061243,0.0002347174,0.0004302775,0.000142428,0.0000551237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008900117,"about_ca_system_score_gemma":0.000865939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1063141,"about_ca_topic_score_gemma":0.2170099,"domain_scores_codex":[0.9998431,0.00001351832,0.00002240742,0.00005387322,0.00003456699,0.0000325416],"domain_scores_gemma":[0.9996467,0.00004036754,0.0001308004,0.00001892943,0.0001072163,0.00005597379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005887295,0.00001237969,0.9909136,0.00007565696,0.00007063837,0.0002306898,0.001358149,0.0002203719,0.002112234,0.00006701212,0.0002536184,0.004626804],"study_design_scores_gemma":[4.767607e-7,0.000006796623,0.9991635,0.000004257455,0.0000122763,0.00003159282,0.0003114046,0.0001217888,0.00009164048,0.000005409447,0.0002485048,0.000002486221],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985673,0.000170899,0.00006206788,0.0000306478,0.000002156744,0.000005854772,0.0008335145,0.000006194301,0.0003214309],"genre_scores_gemma":[0.9983383,0.0001370951,0.0001276591,0.00001359298,0.000004358802,0.00001758629,0.0009309094,0.000001434559,0.0004289382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1063141,"threshold_uncertainty_score":0.2113905,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2621410042","doi":"","title":"Modelling to Generate Alternative Policies in Highly Uncertain Environments: An Application to Municipal Solid Waste Management Planning","year":2015,"lang":"en","type":"article","venue":"Journal of Environmental Informatics","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Regina; York University","funders":"","keywords":"Implementation; Set (abstract data type); Mathematical optimization; Computer science; Operations research; Engineering; Mathematics","authors":[{"name":"Yavuz Günalay","is_ca":false},{"name":"Julian Scott Yeomans","is_ca":true},{"name":"Guohe Huang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1709063893933439,"gpt":0.3948631418663837,"spread":0.2239567524730398,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001545399,0.0008317006,0.000805611,0.0006285147,0.0009411098,0.001011403,0.0008251176,0.001528024,0.001781891],"category_scores_gemma":[0.003863576,0.0004270404,0.001020716,0.001149897,0.0009259454,0.0008365677,0.001201976,0.001441718,0.0001334922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001448231,"about_ca_system_score_gemma":0.001767799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01890683,"about_ca_topic_score_gemma":0.01356154,"domain_scores_codex":[0.999207,0.0005425802,0.00002236871,0.00004075022,0.0001437959,0.00004358214],"domain_scores_gemma":[0.9977156,0.001972234,0.00008852192,0.00006349695,0.0001113142,0.00004891797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001074895,0.0000118985,0.0001466737,0.00001833067,0.000007029019,0.00002396422,0.00003524173,0.9841547,0.000134482,0.01012754,0.00008023094,0.005249194],"study_design_scores_gemma":[0.000007574073,0.00001365076,0.00004027471,0.000006526557,0.000003812676,0.000009137234,0.00001991043,0.9917994,0.0001838314,0.007227125,0.0006838143,0.000004980916],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06861855,0.0004081257,0.9163786,0.001292195,0.0000476209,0.0001626945,0.00008627769,0.0003445688,0.01266144],"genre_scores_gemma":[0.6645241,0.0007220966,0.3320216,0.0001072348,0.0000352851,0.0002898535,0.00009051292,0.0000783138,0.002130936],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01890683,"threshold_uncertainty_score":0.03759354,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2058553647","doi":"10.3808/jei.200300016","title":"Detecting Urban Land-Use and Land-Cover Changes in Mississauga Using Landsat TM Images","year":2003,"lang":"en","type":"article","venue":"Journal of Environmental Informatics","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Impervious surface; Land cover; Land use; Remote sensing; Vegetation (pathology); Geography; Environmental science; Physical geography; Hydrology (agriculture); Forestry; Geology; Ecology","authors":[{"name":"Jianbing Li","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0145633816466752,"gpt":0.2081300915254834,"spread":0.1935667098788082,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001166665,0.0002304425,0.0001236023,0.001119749,0.0007546336,0.0006386872,0.0003409791,0.0002182737,0.0005222285],"category_scores_gemma":[0.0005282915,0.0001741317,0.0001275032,0.001334746,0.0002370885,0.0001717105,0.0003626106,0.0001264818,0.0001621603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002926541,"about_ca_system_score_gemma":0.001537669,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8536008,"about_ca_topic_score_gemma":0.9645127,"domain_scores_codex":[0.9998129,0.00002284321,0.00001136601,0.00003441133,0.00006985551,0.00004870997],"domain_scores_gemma":[0.999647,0.00002285679,0.0000721118,0.0000191399,0.0001785913,0.00006029156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002417268,0.00006091892,0.9151348,0.0001173484,0.00006438531,0.001261111,0.004313534,0.001798495,0.0312889,0.0002010889,0.002715614,0.04280213],"study_design_scores_gemma":[0.000004275265,0.00002903459,0.9927241,0.000009284916,0.00001463402,0.0001214761,0.001880433,0.002139491,0.0009959267,0.00001332574,0.002057637,0.00001040947],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974805,0.00009051905,0.0002752887,0.00003652344,0.000001642371,0.00002297188,0.0005687047,0.00002750282,0.00149631],"genre_scores_gemma":[0.9966559,0.0000916542,0.001331627,0.00001200501,0.000002626477,0.00001816344,0.0009015974,0.000004714408,0.0009815592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1463992,"threshold_uncertainty_score":0.2945227,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1995952870","doi":"10.3808/jei.200800133","title":"A Hybrid Perturbation and Morris Approach for Identifying Sensitive Parameters in Surface Water Quality Models","year":2008,"lang":"en","type":"article","venue":"Journal of Environmental Informatics","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"Major State Basic Research Development Program of China","keywords":"Parameterized complexity; Perturbation (astronomy); Biological system; Nonlinear system; Sensitivity (control systems); Water quality; Computer science; Applied mathematics; Mathematics; Algorithm; Engineering; Physics","authors":[{"name":"Yongtai Huang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04442452308000105,"gpt":0.2467476222330551,"spread":0.2023230991530541,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001674143,0.001029266,0.0006544524,0.001390929,0.0003259584,0.0006423931,0.0008456019,0.0005960438,0.0005258376],"category_scores_gemma":[0.004961878,0.0005185965,0.0009849122,0.0005910686,0.000663649,0.001158395,0.001313561,0.0007334924,0.00008283802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006548919,"about_ca_system_score_gemma":0.00061122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004792226,"about_ca_topic_score_gemma":0.002779598,"domain_scores_codex":[0.9988636,0.0005774699,0.00004873343,0.0001524945,0.0002932708,0.00006447849],"domain_scores_gemma":[0.9985259,0.001003638,0.0001670491,0.0001252548,0.0001455501,0.00003257923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007362141,0.00005140082,0.002621828,0.00004513883,0.0001084478,0.0001732324,0.00007240775,0.9568294,0.009159723,0.007006143,0.0001142856,0.02374445],"study_design_scores_gemma":[0.000004007809,0.00003033497,0.000428189,0.000002188331,0.00001181286,0.00002388262,0.000008627691,0.9953525,0.001352299,0.002625986,0.0001467436,0.00001342522],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06954835,0.00008945386,0.9286672,0.00007678052,0.00001349623,0.00009707911,0.0000498097,0.0003359953,0.001121799],"genre_scores_gemma":[0.8904768,0.0001209122,0.1082323,0.00005126741,0.00001800579,0.0001744345,0.00007929358,0.00005351904,0.0007934654],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004792226,"threshold_uncertainty_score":0.009528637,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2038652430","doi":"10.3808/jei.201200217","title":"Production Scheduling and Waste Disposal Planning for Oil Sands Mining Using Goal Programming","year":2012,"lang":"en","type":"article","venue":"Journal of Environmental Informatics","topic":"Mining Techniques and Economics","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Canadian Natural Resources; University of Alberta","funders":"","keywords":"Tailings; Integer programming; Engineering; Profitability index; Net present value; Sustainability; Production schedule; Linear programming; Waste management; Scheduling (production processes); Production (economics); Civil engineering; Operations management; Computer science; Business","authors":[{"name":"E. Ben-Awuah","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01920659889106946,"gpt":0.2347500046815054,"spread":0.215543405790436,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001196416,0.0007851929,0.0006794799,0.0005269299,0.0004497377,0.001237738,0.0006924908,0.0006599614,0.001402229],"category_scores_gemma":[0.001792028,0.0005867251,0.000803004,0.000698478,0.0005874122,0.0006365852,0.0006152331,0.0008809054,0.0001753368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001389338,"about_ca_system_score_gemma":0.002578827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0160217,"about_ca_topic_score_gemma":0.0146026,"domain_scores_codex":[0.9995348,0.0002162246,0.00001628465,0.0000591136,0.00008505566,0.00008845182],"domain_scores_gemma":[0.999256,0.0005162173,0.00007814049,0.00001718442,0.00009150433,0.00004101876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001777272,0.00002239954,0.0001738964,0.00002102417,0.000006731914,0.00001829048,0.00001720342,0.9930911,0.0002604154,0.002312857,0.00009006205,0.003968189],"study_design_scores_gemma":[0.000004413223,0.00002037455,0.00005491107,0.000003570483,0.000003605707,0.000002729701,0.00001560404,0.9976404,0.0002260521,0.001817885,0.0002083681,0.000002182557],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08307723,0.0001831648,0.9096133,0.0003011775,0.00002218704,0.0001587718,0.0001155679,0.0002049706,0.006323653],"genre_scores_gemma":[0.7257262,0.0002440126,0.2710097,0.00007154866,0.00001113754,0.0002072334,0.0001725005,0.0000704339,0.002487272],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0160217,"threshold_uncertainty_score":0.03185689,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2562354060","doi":"10.3808/jei.201500293","title":"MCFP: A Monte Carlo Simulation-based Fuzzy Programming Approach for Optimization under Dual Uncertainties of Possibility and Continuous Probability","year":2016,"lang":"en","type":"article","venue":"Journal of Environmental Informatics","topic":"Water resources management and optimization","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Memorial University of Newfoundland","funders":"National Natural Science Foundation of China","keywords":"Fuzzy logic; Monte Carlo method; Dual (grammatical number); Computer science; Mathematical optimization; Stochastic programming; Operations research; Range (aeronautics); Reliability (semiconductor); Process (computing); Reliability engineering; Engineering; Mathematics; Statistics","authors":[{"name":"Bing Chen","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01195408506951402,"gpt":0.1973375093658888,"spread":0.1853834242963747,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001562426,0.001011763,0.001168598,0.0009881905,0.0006403493,0.001001628,0.00160088,0.001601025,0.003118253],"category_scores_gemma":[0.002734374,0.0007154444,0.001585238,0.0009532061,0.0007514417,0.0009065066,0.0009957047,0.001744863,0.0003266948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001163244,"about_ca_system_score_gemma":0.002062849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01374176,"about_ca_topic_score_gemma":0.009002578,"domain_scores_codex":[0.9993037,0.000343057,0.0000302364,0.00006903942,0.0001941304,0.00005973673],"domain_scores_gemma":[0.9988033,0.0008806869,0.00007465189,0.00003293084,0.0001688882,0.00003958177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001095698,0.00001298777,0.0001159712,0.00002950155,0.00002397597,0.00002639803,0.00001810362,0.9815798,0.0002223534,0.009476136,0.0002677126,0.008216063],"study_design_scores_gemma":[0.000002260005,0.000004786529,0.00001084065,0.000004576141,0.000002349827,0.000004893696,0.000002233202,0.9971558,0.00005353381,0.002497252,0.0002592717,0.000002179307],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001936499,0.0001007852,0.9959274,0.0001052771,0.0000203548,0.00003311977,0.00002936443,0.0001019039,0.001745318],"genre_scores_gemma":[0.3026437,0.0004897031,0.6923506,0.0002294006,0.00009642375,0.000626683,0.000177128,0.0001420443,0.003244319],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01374176,"threshold_uncertainty_score":0.02732354,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3195086932","doi":"10.3808/jei.201700370","title":"Long-Term Effects of Ecological Factors on Nonpoint Source Pollution in the Upper Reach of the Yangtze River","year":2017,"lang":"en","type":"article","venue":"Journal of Environmental Informatics","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"Fundamental Research Funds for the Central Universities","keywords":"Environmental science; Nonpoint source pollution; Pollutant; Eutrophication; Sediment; Pollution; Water quality; Yangtze river; Water pollution; Hydrology (agriculture); Nutrient; Environmental engineering; Ecology; China; Geography","authors":[{"name":"Xiaowen Ding","is_ca":true},{"name":"Bowen Hou","is_ca":false},{"name":"Yuxuan Xue","is_ca":false},{"name":"Guihong Jiang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01677488721433908,"gpt":0.2559720874348727,"spread":0.2391972002205336,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004411524,0.0003124192,0.0002824407,0.0006178925,0.0002873854,0.0006430626,0.0002249996,0.0003341792,0.000787622],"category_scores_gemma":[0.001023517,0.0001462767,0.0006374703,0.0007021624,0.0003286729,0.0005968656,0.0006955529,0.0002836093,0.00007482467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008464403,"about_ca_system_score_gemma":0.0009367294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04785358,"about_ca_topic_score_gemma":0.05457958,"domain_scores_codex":[0.999736,0.000057344,0.00002022157,0.00006158818,0.00006365522,0.00006118482],"domain_scores_gemma":[0.9994721,0.0001455769,0.0001324784,0.00003786635,0.0001233021,0.00008867506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001165539,0.00008834481,0.970242,0.00005249954,0.0002140036,0.0005887506,0.0004397381,0.01463207,0.003991394,0.0003492422,0.0002671214,0.00901819],"study_design_scores_gemma":[0.000004285649,0.00005877269,0.9866155,0.000008115625,0.00007609779,0.00004971329,0.0004104882,0.0115855,0.0005707562,0.0001702701,0.0004373249,0.00001317495],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990869,0.0001346995,0.0002462862,0.00007366459,0.00000253861,0.000003385057,0.0001000063,0.000008461411,0.0003440932],"genre_scores_gemma":[0.9994937,0.0000911977,0.00006092599,0.000007450147,0.000002132183,0.000003677764,0.0001275455,0.000001911747,0.0002114003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04785358,"threshold_uncertainty_score":0.09515011,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2998031782","doi":"10.3808/jei.201900418","title":"Conservation-Targeted Hydrologic-Economic Models for Water Demand Management","year":2019,"lang":"en","type":"article","venue":"Journal of Environmental Informatics","topic":"Water resources management and optimization","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Demand management; Environmental science; Hydrological modelling; Water resource management; Economics; Geology","authors":[{"name":"Yi Xiao","is_ca":false},{"name":"Liping Fang","is_ca":true},{"name":"Keith W. Hipel","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005255291238902545,"gpt":0.1548434494582379,"spread":0.1495881582193354,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001139976,0.001240818,0.0008922116,0.0008180852,0.0007010274,0.001767295,0.001831592,0.002219427,0.005816534],"category_scores_gemma":[0.002783113,0.0007396702,0.0008389665,0.001468153,0.001109719,0.001241718,0.001171901,0.001801834,0.0005077489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004301336,"about_ca_system_score_gemma":0.002752963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06913266,"about_ca_topic_score_gemma":0.05260983,"domain_scores_codex":[0.9995694,0.0002009036,0.00001478783,0.00006205672,0.00006625425,0.00008663123],"domain_scores_gemma":[0.9989777,0.0006615488,0.00009029124,0.00002902921,0.0001653289,0.000076284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008215939,0.00001015908,0.0002812607,0.000007681342,0.000007587103,0.0000113395,0.000009336588,0.9935095,0.00003814237,0.005136383,0.0002511471,0.0007291915],"study_design_scores_gemma":[0.000004570765,0.00000402842,0.000108395,0.000002471796,0.000003795624,0.000003196415,0.00001085557,0.9971184,0.00002109859,0.002374707,0.0003457644,0.000002812137],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1174834,0.001218861,0.8254322,0.003411981,0.0001985198,0.0002936051,0.002342829,0.0006101633,0.04900853],"genre_scores_gemma":[0.925878,0.0009597148,0.04535299,0.0002759778,0.00007694545,0.0006370275,0.0008830774,0.0001261238,0.02581017],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06913266,"threshold_uncertainty_score":0.1374605,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2320404002","doi":"10.3808/jei.201100194","title":"Identification of Bird Collision Hotspots along Transmission Power Lines in Alberta: An Expert-Based Geographic Information System (GIS) Approach","year":2011,"lang":"en","type":"article","venue":"Journal of Environmental Informatics","topic":"Wildlife-Road Interactions and Conservation","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Calgary","funders":"Innovative Research Group Project of the National Natural Science Foundation of China; Alberta Conservation Association; U.S. Department of the Interior; Purdue University; U.S. Navy; U.S. Fish and Wildlife Service","keywords":"Geographic information system; Collision; Sampling (signal processing); Hotspot (geology); Electric power transmission; Identification (biology); Geography; Transmission (telecommunications); Computer science; Environmental resource management; Data mining; Ecology; Environmental science; Cartography; Engineering; Geology; Biology","authors":[{"name":"Michael S. Quinn","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01175212296913198,"gpt":0.2089305486026569,"spread":0.1971784256335249,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004651904,0.0004042358,0.0002557673,0.00304706,0.0006813821,0.0008222457,0.0005406752,0.0004081495,0.0008231779],"category_scores_gemma":[0.00216908,0.0002147444,0.0002317171,0.001690077,0.0004129729,0.000371672,0.0005319899,0.00018606,0.00008108353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003290434,"about_ca_system_score_gemma":0.002484189,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5829022,"about_ca_topic_score_gemma":0.6982359,"domain_scores_codex":[0.9997252,0.00008682713,0.00001892485,0.00005284101,0.00008156841,0.00003463693],"domain_scores_gemma":[0.9992222,0.0003456238,0.0001207812,0.00003835196,0.0002048585,0.00006814232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003630849,0.000283491,0.5917485,0.0001203655,0.0001019387,0.0007554095,0.001582468,0.3146881,0.00308008,0.001839889,0.001177976,0.08425856],"study_design_scores_gemma":[0.00002648168,0.00009709682,0.1989182,0.00001886387,0.00003816614,0.0001002764,0.002397075,0.7954252,0.001021561,0.001061065,0.0008600526,0.00003595924],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985641,0.00006856114,0.01114533,0.00008775571,0.000002599734,0.0001378074,0.0006350141,0.0001504585,0.002131554],"genre_scores_gemma":[0.9762979,0.00003646168,0.0223728,0.000007735131,0.000001605871,0.00003731777,0.000667366,0.000007903174,0.0005709959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4170978,"threshold_uncertainty_score":0.8391083,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2185722823","doi":"10.3808/jei.201300236","title":"Interval Binary Programming Model for Noise Control Within an Urban Environment","year":2013,"lang":"en","type":"article","venue":"Journal of Environmental Informatics","topic":"Water resources management and optimization","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Interval (graph theory); Noise (video); Mathematical optimization; Binary number; Computer science; Noise control; Selection (genetic algorithm); Extension (predicate logic); Process (computing); Noise reduction; Linear programming; Control (management); Reduction (mathematics); Algorithm; Mathematics; Artificial intelligence","authors":[{"name":"Wendy Huang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.00841323472961276,"gpt":0.1741314771267222,"spread":0.1657182423971094,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001558284,0.001069238,0.0009833383,0.0006963126,0.0005655341,0.001764423,0.001858276,0.001164731,0.004151802],"category_scores_gemma":[0.002455088,0.0004746337,0.00082088,0.001416582,0.001057377,0.001514648,0.001145258,0.002242597,0.0006332932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001201933,"about_ca_system_score_gemma":0.00116449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003721907,"about_ca_topic_score_gemma":0.002467209,"domain_scores_codex":[0.9986402,0.0006167126,0.00004061703,0.0001877888,0.0004052743,0.000109463],"domain_scores_gemma":[0.9990636,0.000570949,0.0001271928,0.00004156819,0.0001468223,0.00004995733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004209105,0.00003884419,0.000166941,0.00008131588,0.00001708386,0.00006985122,0.00006073933,0.8229075,0.0007357265,0.1619102,0.0009494645,0.01302034],"study_design_scores_gemma":[0.000006900291,0.00002238062,0.00004017624,0.000009089746,0.000005438357,0.00001423814,0.00001042313,0.9702696,0.0001679756,0.0280955,0.001350796,0.000007584315],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002495663,0.0001456275,0.9920941,0.000126602,0.00003308072,0.00002504152,0.00005150451,0.00005462111,0.004973838],"genre_scores_gemma":[0.4833191,0.001526554,0.4970895,0.0002546757,0.0001316722,0.0007462811,0.0003156682,0.0001288522,0.01648763],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004151802,"threshold_uncertainty_score":0.01388913,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2578221472","doi":"10.3808/jei.201400270","title":"Hemicellulose-Based Absorbent Toward Dye: Adsorption Equilibrium and Kinetics Studies","year":2014,"lang":"en","type":"article","venue":"Journal of Environmental Informatics","topic":"Adsorption and biosorption for pollutant removal","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Hemicellulose; Adsorption; Sorption; Endothermic process; Freundlich equation; Methylene blue; Enthalpy; Langmuir; Langmuir adsorption model; Chemistry; Chemical engineering; Aqueous solution; Materials science; Organic chemistry; Thermodynamics; Cellulose; Catalysis","authors":[{"name":"J. Zhang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01647655147163504,"gpt":0.2351965265363486,"spread":0.2187199750647136,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004024463,0.000390235,0.0003671525,0.0004181636,0.0002293647,0.0002510606,0.0002921096,0.0003622466,0.0009714275],"category_scores_gemma":[0.0004928589,0.000131328,0.0004290411,0.0006057073,0.0001226294,0.000432092,0.000180967,0.0004512549,0.0003755469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002745345,"about_ca_system_score_gemma":0.0002499188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002738864,"about_ca_topic_score_gemma":0.00302817,"domain_scores_codex":[0.9997792,0.00002791038,0.00001694997,0.00003747527,0.0000908396,0.00004768093],"domain_scores_gemma":[0.9997723,0.00008080834,0.0000406837,0.00001337314,0.00007602014,0.00001690351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004558698,0.00004083356,0.0002154637,0.0001119095,0.000008490943,0.00002738548,0.00002831011,0.0003633286,0.9969466,0.00007262477,0.00002172432,0.002117685],"study_design_scores_gemma":[0.000002472376,0.0001483699,0.001583932,0.000006325727,0.00001222721,0.00003851898,0.00002289459,0.002015412,0.9953671,0.00002752565,0.0007671457,0.000008157288],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878398,0.003195408,0.006980477,0.00006833852,0.00002175319,0.00003252979,0.0003511464,0.00006395342,0.001446568],"genre_scores_gemma":[0.9854437,0.003302946,0.006863197,0.00003760454,0.00001444624,0.00004008587,0.0003479283,0.00002832969,0.00392171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002738864,"threshold_uncertainty_score":0.005445898,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2613707555","doi":"10.3808/jei.201500290","title":"Determining the Influence of Land Use Change and Soil Heterogeneities on Discharge, Sediment and Phosphorus","year":2015,"lang":"en","type":"article","venue":"Journal of Environmental Informatics","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"McGill University","funders":"","keywords":"Environmental science; Bay; Hydrology (agriculture); Surface runoff; Watershed; Land use; Soil water; Land use, land-use change and forestry; Sediment; SWAT model; Soil science; Geology; Ecology; Oceanography; Geomorphology","authors":[{"name":"Alaba Boluwade","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03100640976095225,"gpt":0.2211652656245474,"spread":0.1901588558635951,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005965505,0.0002260062,0.0001547687,0.0004621685,0.0002781317,0.0006064169,0.0002815948,0.0001827347,0.0004619366],"category_scores_gemma":[0.0009760248,0.0001957182,0.0004016577,0.0006606379,0.0003552147,0.0003256525,0.0003784638,0.0001702143,0.00009071248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001414059,"about_ca_system_score_gemma":0.0006935704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1443921,"about_ca_topic_score_gemma":0.2733679,"domain_scores_codex":[0.99963,0.00009694623,0.00001961907,0.0001205092,0.00007254478,0.00006031204],"domain_scores_gemma":[0.9991658,0.0003114362,0.0002351128,0.00008223655,0.0001256178,0.00007977994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009958205,0.00003158122,0.9925412,0.000005641848,0.00006669517,0.00003945428,0.00008175717,0.002057252,0.002148935,0.00002872219,0.0000405027,0.002858699],"study_design_scores_gemma":[0.000001238498,0.000028853,0.9970424,8.39303e-7,0.00001064586,0.00000785226,0.0000879718,0.00239651,0.0003207684,0.000007249448,0.00009324367,0.000002385863],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996719,0.000007830997,0.0000605742,0.000003816141,2.637314e-7,0.000002830441,0.0001150231,0.000001255016,0.0001364534],"genre_scores_gemma":[0.9992373,0.00001277283,0.0001839365,0.000004244115,7.025852e-7,0.000006590922,0.0004343484,0.000001279899,0.00011874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1443921,"threshold_uncertainty_score":0.2871032,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2052615177","doi":"10.3808/jei.200600070","title":"Supporting Sustainable Communities with Web-based Information Systems","year":2006,"lang":"en","type":"article","venue":"Journal of Environmental Informatics","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"University of Regina","keywords":"Adaptability; Knowledge management; Adaptation (eye); Situational ethics; Sustainable development; Work (physics); Sustainable community; Computer science; Business; Engineering; Political science","authors":[{"name":"Yiyu Yao","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0326561231654858,"gpt":0.3038785257475649,"spread":0.2712224025820791,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001777893,0.0004096983,0.0004457888,0.0015457,0.001045971,0.004056566,0.001089455,0.001744935,0.003183505],"category_scores_gemma":[0.004667227,0.0002738757,0.0004366781,0.001910324,0.0007356527,0.00593876,0.003014997,0.000805345,0.001290137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004382308,"about_ca_system_score_gemma":0.001207195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001397591,"about_ca_topic_score_gemma":0.001360173,"domain_scores_codex":[0.998584,0.0006370022,0.0001256698,0.00008461077,0.0004610998,0.0001076315],"domain_scores_gemma":[0.997017,0.00166112,0.0001966594,0.0004048491,0.0004283891,0.0002919199],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004299481,0.002032524,0.0100776,0.001377859,0.0002570162,0.002072978,0.004228359,0.06772567,0.02382666,0.1527624,0.02438889,0.71082],"study_design_scores_gemma":[0.0004074757,0.0006152609,0.004346018,0.0006840886,0.0002696925,0.001378102,0.00310763,0.4014537,0.01738414,0.2973676,0.2727473,0.000239023],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.187535,0.003754274,0.6989509,0.006452905,0.0003999231,0.0009640808,0.0003511863,0.008810022,0.09278164],"genre_scores_gemma":[0.7056149,0.002608101,0.2814023,0.0005709724,0.0003583927,0.000444625,0.0006191914,0.0001535118,0.008227995],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004056566,"threshold_uncertainty_score":0.01064992,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4320018734","doi":"10.3808/jei.202300486","title":"Multifunctional PVDF Membrane Coated with ZnO-Ag Nanocomposites for Wastewater Treatment and Fouling Mitigation: Factorial and Mechanism Analyses","year":2023,"lang":"en","type":"article","venue":"Journal of Environmental Informatics","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina; Canadian Light Source (Canada); University of Calgary; University of Alberta","funders":"Canadian Light Source","keywords":"Membrane; Nanocomposite; Biofouling; Contact angle; Materials science; Chemical engineering; Fouling; Filtration (mathematics); Membrane fouling; Wastewater; Photocatalysis; Composite material; Chemistry; Environmental engineering; Organic chemistry","authors":[{"name":"Xiujuan Chen","is_ca":false},{"name":"C. Z. Huang","is_ca":true},{"name":"Renfei Feng","is_ca":true},{"name":"P. Zhang","is_ca":true},{"name":"Y. H. Wu","is_ca":true},{"name":"Weiheng Huang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02812271864699009,"gpt":0.2641772007781849,"spread":0.2360544821311948,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002760487,0.0003396407,0.0004160796,0.0002763072,0.0001829155,0.0003017811,0.0002480746,0.0005519663,0.0002903418],"category_scores_gemma":[0.0002316659,0.00016695,0.0006381043,0.0002433813,0.0001563865,0.0004879567,0.0001592661,0.0003545291,0.0001173752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002967471,"about_ca_system_score_gemma":0.000157414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009039462,"about_ca_topic_score_gemma":0.001109601,"domain_scores_codex":[0.9998286,0.00001937095,0.00001268566,0.00003785382,0.00007094484,0.00003057117],"domain_scores_gemma":[0.9999223,0.00001509832,0.00001998998,0.000005560855,0.00002933979,0.000007740447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003341741,0.00001772875,0.0001276038,0.00004743072,0.000005189211,0.00001641868,0.000005666434,0.00008231842,0.9985451,0.00003240079,0.000007256048,0.001079455],"study_design_scores_gemma":[0.000004602155,0.00008461886,0.0008440452,0.000001908647,0.00001522476,0.00004788193,0.000009639123,0.001240125,0.9973783,0.00002536978,0.0003443968,0.000003828051],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9763355,0.002483803,0.02015192,0.0001068677,0.00003647909,0.00005956186,0.0001489895,0.0000893578,0.0005876729],"genre_scores_gemma":[0.9834697,0.001413342,0.01390923,0.00003092417,0.000009644654,0.00004638975,0.0001144661,0.00001398274,0.0009923326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009039462,"threshold_uncertainty_score":0.002153039,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2341426508","doi":"10.3808/jei.201500300","title":"Assessing Lead Contamination in Buffalo River Sediments","year":2015,"lang":"en","type":"article","venue":"Journal of Environmental Informatics","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Dredging; Kriging; Contamination; Environmental science; Sediment; Hydrology (agriculture); Pollution; Watershed; Water quality; Geology; Oceanography; Geomorphology; Geotechnical engineering","authors":[{"name":"K. Wayne Forsythe","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02492335311260677,"gpt":0.2611684827405994,"spread":0.2362451296279926,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002643253,0.0001556721,0.0002729367,0.0007848518,0.0003445931,0.0006790772,0.0001717934,0.0001631449,0.0006521589],"category_scores_gemma":[0.0005525711,0.0001295882,0.0001268145,0.000740113,0.0001859772,0.0002456518,0.0003823586,0.0001302131,0.0001104458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006021665,"about_ca_system_score_gemma":0.0008848403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08477633,"about_ca_topic_score_gemma":0.1546174,"domain_scores_codex":[0.9998055,0.00002411098,0.00001140259,0.00003803191,0.00009569914,0.00002527455],"domain_scores_gemma":[0.9997885,0.00004183367,0.00004366494,0.000007400219,0.0001004094,0.00001829519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002453512,0.0001014389,0.8163978,0.0001058072,0.0001043505,0.000344972,0.0006949831,0.01260622,0.1287781,0.0003192181,0.000283494,0.04001835],"study_design_scores_gemma":[0.00001827104,0.0004346443,0.8915623,0.00003210744,0.0001424758,0.0001556777,0.001618027,0.04023776,0.06162374,0.000466371,0.003664375,0.00004417949],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997547,0.00005844366,0.001463385,0.000006181702,8.201848e-7,0.00001206841,0.0001657764,0.00001731286,0.0007290059],"genre_scores_gemma":[0.9960657,0.0001541586,0.002597007,0.000004708512,9.726882e-7,0.00001068811,0.0002798678,0.000007480985,0.000879524],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08477633,"threshold_uncertainty_score":0.1685658,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2594973116","doi":"10.3808/jei.201600342","title":"A GIS-Based Integer Programming Approach for the Location of Solid Waste Collection Depots","year":2016,"lang":"en","type":"article","venue":"Journal of Environmental Informatics","topic":"Municipal Solid Waste Management","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; McMaster University","keywords":"Haulage; Municipal solid waste; Integer programming; Waste collection; Engineering; Service (business); Waste management; Operations research; Computer science; Transport engineering; Business; Algorithm","authors":[{"name":"Wei Huang","is_ca":true},{"name":"Brian W. Baetz","is_ca":true},{"name":"Seyed‐Ehsan Razavi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01569117283500432,"gpt":0.2364978495453161,"spread":0.2208066767103118,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001027564,0.00166653,0.001046293,0.001624617,0.000866019,0.002256145,0.001872283,0.001187366,0.008143386],"category_scores_gemma":[0.0020598,0.001161678,0.001696635,0.001966921,0.0006117813,0.001411014,0.001336863,0.001406397,0.001421283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00148556,"about_ca_system_score_gemma":0.001903374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01168773,"about_ca_topic_score_gemma":0.01443695,"domain_scores_codex":[0.9993376,0.0002583555,0.00003468259,0.0001254424,0.0001707982,0.00007304646],"domain_scores_gemma":[0.9993381,0.0004165898,0.00006472455,0.00002917373,0.0001158779,0.00003552276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003595145,0.00006953769,0.0002910781,0.0001339984,0.00003337044,0.000132318,0.0000943807,0.9428563,0.001630463,0.0218163,0.001673668,0.03123268],"study_design_scores_gemma":[0.000007739907,0.00001811591,0.000038145,0.000009241221,0.000007129977,0.00002266036,0.0000496893,0.9924455,0.000467569,0.004952207,0.001973392,0.000008578678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002220412,0.00005085479,0.9938274,0.00009956961,0.00002926755,0.00006923894,0.0001560763,0.0003977675,0.003149392],"genre_scores_gemma":[0.06624449,0.0001997976,0.9294716,0.00005320338,0.00003444368,0.0003403224,0.0003583308,0.0001784683,0.003119338],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01168773,"threshold_uncertainty_score":0.02724236,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2604746977","doi":"10.3808/jei.201600354","title":"ASOC: A Novel Agent-Based Simulation-Optimization Coupling Approach-Algorithm and Application in Offshore Oil Spill Responses","year":2016,"lang":"en","type":"article","venue":"Journal of Environmental Informatics","topic":"Oil Spill Detection and Mitigation","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Memorial University of Newfoundland","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Submarine pipeline; Oil spill; Dispersion (optics); Computer science; Boom; Control (management); Petroleum engineering; Engineering; Environmental engineering; Geotechnical engineering","authors":[{"name":"P. Li","is_ca":true},{"name":"Bing Chen","is_ca":true},{"name":"Z. L. Li","is_ca":true},{"name":"Liang Jing","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01009894911947401,"gpt":0.2223605543377561,"spread":0.2122616052182821,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007572287,0.001166398,0.001036149,0.0006594842,0.0006954315,0.00097194,0.001193498,0.001220973,0.003101614],"category_scores_gemma":[0.001371502,0.000610583,0.00103365,0.0005075345,0.0005530145,0.0006006861,0.001412425,0.001046181,0.0003111208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000653283,"about_ca_system_score_gemma":0.001809194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01901071,"about_ca_topic_score_gemma":0.01224181,"domain_scores_codex":[0.9997368,0.00009603551,0.00001430543,0.00004069879,0.00006435031,0.00004769665],"domain_scores_gemma":[0.9994015,0.0003243735,0.00006349861,0.00002436349,0.0001316378,0.00005469294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002005865,0.00001938639,0.0003172831,0.00003197217,0.00002420374,0.00002733945,0.00001721281,0.9912026,0.0002904786,0.001747629,0.0002512375,0.006050588],"study_design_scores_gemma":[0.000004923462,0.000007886255,0.00001934234,0.000002651474,0.000003402161,0.000002547811,0.000003681375,0.9993231,0.00005028789,0.000314261,0.0002661719,0.000001638884],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02502485,0.0005077285,0.9646544,0.0002885553,0.000145984,0.0001363361,0.00008571471,0.001038849,0.008117507],"genre_scores_gemma":[0.7200825,0.00064655,0.2721229,0.0002652206,0.0000747858,0.0006466533,0.0002583529,0.0002359133,0.005667185],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01901071,"threshold_uncertainty_score":0.03780013,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4254562353","doi":"10.3808/jei.202000431","title":"Management of Contaminated Drinking Water Source in Rural Communities","year":2020,"lang":"en","type":"article","venue":"Journal of Environmental Informatics","topic":"Water resources management and optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Water security; Environmental planning; Water supply; Water quality; Climate change; Water safety; Water source; Business; Water resource management; Rural area; Environmental resource management; Water contamination; Environmental science; Geography; Water resources; Environmental engineering; Contamination; Political science","authors":[{"name":"W. W. Huang","is_ca":true},{"name":"Xiujuan Chen","is_ca":true},{"name":"Yurui Fan","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006862645097658271,"gpt":0.1603512643883699,"spread":0.1534886192907116,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005784836,0.0002811773,0.0004510715,0.0008626859,0.0007365959,0.001517646,0.00101842,0.0008493917,0.001468909],"category_scores_gemma":[0.001026585,0.0001461618,0.0003606885,0.0008897875,0.0004852951,0.0008493262,0.001637626,0.0003254076,0.0002714689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007239318,"about_ca_system_score_gemma":0.001724464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004788188,"about_ca_topic_score_gemma":0.006287318,"domain_scores_codex":[0.9994099,0.0001959894,0.00003854552,0.00008609684,0.0001683957,0.0001011236],"domain_scores_gemma":[0.9995345,0.00008442358,0.0001405784,0.00002149557,0.0001696177,0.00004937824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003071015,0.0004507365,0.05371388,0.005869776,0.0003107673,0.004542225,0.003736427,0.02109798,0.04994429,0.01314586,0.009297004,0.837584],"study_design_scores_gemma":[0.0001602262,0.00256954,0.1293364,0.005542309,0.00103127,0.01054153,0.04809295,0.1065857,0.1268712,0.07066271,0.4981849,0.0004213068],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7009245,0.07161359,0.1542319,0.01072073,0.000353173,0.0007674879,0.0006311211,0.0006402903,0.06011712],"genre_scores_gemma":[0.9332987,0.03507469,0.0245911,0.0005571173,0.00006311341,0.0001378242,0.0002416656,0.00003551741,0.006000344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004788188,"threshold_uncertainty_score":0.00952065,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W357322825","doi":"10.3808/jei.201600355","title":"An Integrated Simulation-based Process Control and Operation Planning (IS-PCOP) System for Marine Oily Wastewater Management","year":2016,"lang":"en","type":"article","venue":"Journal of Environmental Informatics","topic":"Process Optimization and Integration","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Process (computing); Monte Carlo method; Control (management); Key (lock); Computer science; Engineering; Process control; Operations research","authors":[{"name":"Liang Jing","is_ca":true},{"name":"Bing Chen","is_ca":false},{"name":"Baiyu Zhang","is_ca":true},{"name":"P. Li","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005635970041157361,"gpt":0.2164301066460744,"spread":0.2107941366049171,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000624901,0.0007248219,0.0005833821,0.0005729011,0.0004342497,0.00078597,0.0008266868,0.0005808488,0.001655567],"category_scores_gemma":[0.0009170867,0.000362278,0.000594822,0.000585488,0.0003492794,0.0006477794,0.0007281562,0.0006681159,0.0002327026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007930642,"about_ca_system_score_gemma":0.002248831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008607052,"about_ca_topic_score_gemma":0.007097974,"domain_scores_codex":[0.9995707,0.0001222053,0.0000266759,0.00008142012,0.0001588245,0.00004019172],"domain_scores_gemma":[0.999631,0.0001145265,0.00005216304,0.00004569997,0.0001162792,0.0000401858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001574873,0.0001343143,0.001992013,0.00009563602,0.00006379306,0.0001061161,0.00004573541,0.9232962,0.008135573,0.00279846,0.0008284407,0.06234625],"study_design_scores_gemma":[0.00001075889,0.00004292842,0.0002661923,0.000005937196,0.00001276012,0.00001523922,0.000007054462,0.9965418,0.001669535,0.0006283096,0.0007918231,0.000007586767],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04491613,0.0002207124,0.9457536,0.0002465528,0.00007649849,0.0002305237,0.000140937,0.002732759,0.005682324],"genre_scores_gemma":[0.850289,0.0002779812,0.1465973,0.00006906059,0.00001972404,0.0003428367,0.0002896695,0.00005438294,0.00205984],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008607052,"threshold_uncertainty_score":0.01711392,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2055411822","doi":"10.3808/jei.200700097","title":"Evaluating Satellite-Based Measurements for Mapping Air Quality in Ontario, Canada","year":2007,"lang":"en","type":"article","venue":"Journal of Environmental Informatics","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Queen's University","funders":"Goddard Space Flight Center; Ministry of Environment; National Aeronautics and Space Administration","keywords":"Satellite; Environmental science; Moderate-resolution imaging spectroradiometer; Spectroradiometer; Air quality index; Remote sensing; Meteorology; Ozone; Aerosol; Atmosphere (unit); Atmospheric sciences; Geography; Geology; Reflectivity","authors":[{"name":"Jinfeng Tian","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07486842432338081,"gpt":0.2725582297429366,"spread":0.1976898054195558,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000812892,0.0002876085,0.0002232788,0.0009282504,0.00110633,0.0009391919,0.0004906703,0.0002092224,0.0008886742],"category_scores_gemma":[0.003086935,0.0001931572,0.000171367,0.002787298,0.0003270092,0.0003316566,0.000413945,0.0001748223,0.0001840354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01361818,"about_ca_system_score_gemma":0.01213002,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9923638,"about_ca_topic_score_gemma":0.995934,"domain_scores_codex":[0.9990832,0.0000852761,0.00003915369,0.0001088178,0.0005569956,0.000126483],"domain_scores_gemma":[0.9975374,0.0002015757,0.0002552383,0.00006942394,0.001801008,0.0001354064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001566627,0.0000639515,0.9549954,0.000106109,0.00008866484,0.0001068412,0.0009347219,0.003425265,0.004659816,0.0002289287,0.001554514,0.03367908],"study_design_scores_gemma":[0.0000144413,0.00003518877,0.9887419,0.00001796471,0.00003186939,0.00002337764,0.001134271,0.005990157,0.001115346,0.00003158069,0.002850997,0.00001289925],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903839,0.0004065083,0.0009656795,0.0001151646,0.000008410179,0.00009466309,0.003105278,0.00005451338,0.004866012],"genre_scores_gemma":[0.9943249,0.0002433923,0.002084411,0.0000240946,0.000003404856,0.00002871421,0.001755342,0.000008375134,0.00152725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01361818,"threshold_uncertainty_score":0.09880728,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2105801133","doi":"10.3808/jei.200400025","title":"A Mixed-Integer Optimization Model for Compressor Selection in Natural Gas Pipeline Network System Operations","year":2004,"lang":"en","type":"article","venue":"Journal of Environmental Informatics","topic":"Process Optimization and Integration","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Compressor station; Gas compressor; Pipeline (software); Natural gas; Integer programming; Engineering; Pipeline transport; Mathematical optimization; Mechanical engineering; Waste management; Mathematics","authors":[{"name":"V. Uraikul","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008250672480788328,"gpt":0.1957606868300149,"spread":0.1875100143492265,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001579827,0.001677782,0.001300623,0.0007263072,0.0008282015,0.002334044,0.001738325,0.001961352,0.005529391],"category_scores_gemma":[0.002062399,0.0009293198,0.001127563,0.001106895,0.0008958952,0.00151724,0.001101503,0.001934535,0.0006782525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002284511,"about_ca_system_score_gemma":0.002652102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01942989,"about_ca_topic_score_gemma":0.01504901,"domain_scores_codex":[0.999094,0.0003594312,0.00003484818,0.0001541676,0.0002072666,0.0001502873],"domain_scores_gemma":[0.9991004,0.0005771022,0.0001068349,0.00002069369,0.0001432344,0.00005165721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001805594,0.00001422775,0.00007958779,0.00002686596,0.000008259865,0.00004124104,0.00001583108,0.9910759,0.0001419959,0.00663542,0.0003055883,0.001636955],"study_design_scores_gemma":[0.000005549295,0.00001091363,0.00002064361,0.000003624665,0.000003478626,0.000004102676,0.000007067032,0.998033,0.00006021867,0.00138357,0.0004649455,0.000002867278],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01397853,0.0004237067,0.9674325,0.0005739321,0.000109549,0.0001511179,0.0003887128,0.0002777157,0.01666415],"genre_scores_gemma":[0.7575222,0.001243497,0.2093067,0.0003123535,0.0001388407,0.001254534,0.0007476311,0.0001728237,0.0293014],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01942989,"threshold_uncertainty_score":0.03863358,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3196140195","doi":"10.3808/jei.201700380","title":"Improvement of Instantaneous Point Source Model for Simulating Radionuclide Diffusion in Oceans under Nuclear Power Plant Accidents","year":2018,"lang":"en","type":"article","venue":"Journal of Environmental Informatics","topic":"Radioactive contamination and transfer","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"Fundamental Research Funds for the Central Universities","keywords":"Radionuclide; Nuclear power plant; Environmental science; Diffusion; Nuclear power; Point source; Nuclear engineering; Point (geometry); Computer science; Engineering; Mathematics; Nuclear physics; Physics","authors":[{"name":"Aifeng Zhai","is_ca":false},{"name":"Xinhong Ding","is_ca":true},{"name":"Yong Zhao","is_ca":false},{"name":"Wei Xiao","is_ca":false},{"name":"Baofu Lu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008448432058251175,"gpt":0.2162910184158455,"spread":0.2078425863575943,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004886509,0.0006618236,0.000797711,0.0006382926,0.0004320026,0.0008361309,0.001433241,0.001337798,0.001169365],"category_scores_gemma":[0.001390967,0.000427788,0.001277838,0.0006576831,0.0004446634,0.0008687903,0.000798011,0.000901497,0.000175698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007493179,"about_ca_system_score_gemma":0.001475748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04216198,"about_ca_topic_score_gemma":0.01151183,"domain_scores_codex":[0.999745,0.00006386643,0.00002025963,0.00005343517,0.00007569621,0.00004176389],"domain_scores_gemma":[0.9995745,0.0001573469,0.00004527099,0.00003028197,0.0001660706,0.00002655698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001188105,0.000006771523,0.0009738723,0.00001473369,0.000008890233,0.00003248109,0.00001547753,0.9957708,0.0007566185,0.0004456611,0.00006638616,0.001896395],"study_design_scores_gemma":[0.000004730897,0.000008518895,0.000146516,0.000001352683,0.000005320704,0.000005471808,0.00000460754,0.9993343,0.000224438,0.0001501734,0.0001108766,0.000003598819],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3777245,0.0007362255,0.609807,0.000421782,0.0001630708,0.00009437751,0.0006045494,0.001359186,0.009089342],"genre_scores_gemma":[0.9719827,0.000441683,0.02382958,0.00004438066,0.00002371297,0.0001095039,0.0003467062,0.00008050598,0.003141276],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04216198,"threshold_uncertainty_score":0.0838331,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2314475734","doi":"10.3808/jei.201100201","title":"Development of an Intelligent System for Monitoring and Diagnosis of the Carbon Dioxide Capture Process","year":2011,"lang":"en","type":"article","venue":"Journal of Environmental Informatics","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Process (computing); Downtime; Modular design; Process engineering; Expert system; Engineering; Computer science; Process control; Reliability engineering; Artificial intelligence","authors":[{"name":"Qiang Zhou","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01548731926395332,"gpt":0.2023310138398455,"spread":0.1868436945758922,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000609573,0.0007449551,0.0008213745,0.0008712532,0.0005001833,0.0009709987,0.001335434,0.00120853,0.00322852],"category_scores_gemma":[0.001333964,0.0004318085,0.0005177206,0.0003646907,0.0003350635,0.0008677627,0.0004894811,0.0008115875,0.001291153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005347352,"about_ca_system_score_gemma":0.001285166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003529999,"about_ca_topic_score_gemma":0.002519284,"domain_scores_codex":[0.9994015,0.00006272012,0.00005236565,0.0002217159,0.0002084821,0.00005318289],"domain_scores_gemma":[0.9994672,0.0001399167,0.00004367601,0.00006231107,0.0002537383,0.00003309612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008816523,0.0006320794,0.007814758,0.0009312105,0.0001822689,0.001389278,0.0006194001,0.06366707,0.2584325,0.007837766,0.01333288,0.6442792],"study_design_scores_gemma":[0.0002187418,0.0007606247,0.007866289,0.0001245193,0.0002613957,0.001171577,0.0001228747,0.7890227,0.1680304,0.002460711,0.0298369,0.0001232101],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03186761,0.0003669654,0.9408824,0.0002738934,0.0002056781,0.0006837841,0.0003904965,0.01701696,0.00831213],"genre_scores_gemma":[0.4092438,0.0003946495,0.5802155,0.0003373471,0.00005619919,0.0006595026,0.0008460246,0.0001480403,0.008099038],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003529999,"threshold_uncertainty_score":0.01080048,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2464333608","doi":"10.3808/jei.201500308","title":"Lab-Scale Experiment and Model Study on Enhanced Digestion of Wastewater Sludge using Bioelectrochemical Systems","year":2015,"lang":"en","type":"article","venue":"Journal of Environmental Informatics","topic":"Microbial Fuel Cells and Bioremediation","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; McMaster University","keywords":"Methanogenesis; Anaerobic digestion; Chemical oxygen demand; Volatile suspended solids; Wastewater; Chemistry; Microbial electrolysis cell; Pulp and paper industry; Biogas; Acetic acid; Waste management; Sewage treatment; Methane; Microbial fuel cell; Anode; Biochemistry; Electrode; Engineering; Organic chemistry","authors":[{"name":"Joseph R. Asztalos","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02028301472113483,"gpt":0.2360387683652908,"spread":0.215755753644156,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004177285,0.000740338,0.001115737,0.0002766686,0.0003800164,0.0007022233,0.0007879373,0.0009163019,0.0004535669],"category_scores_gemma":[0.0001967989,0.0002300785,0.001056962,0.0004603461,0.0002580086,0.0005046009,0.000552348,0.0007355606,0.0002489832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006169354,"about_ca_system_score_gemma":0.0003291439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001755426,"about_ca_topic_score_gemma":0.001341423,"domain_scores_codex":[0.9996325,0.00006212383,0.00003900076,0.0001038658,0.0001102767,0.00005233082],"domain_scores_gemma":[0.9998575,0.00003166648,0.00002500819,0.00002622946,0.00003990109,0.00001963151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002970987,0.0005688036,0.0008364216,0.0002697998,0.00002466949,0.0001409338,0.00003109975,0.009744678,0.9856016,0.0001216018,0.00005057171,0.002312662],"study_design_scores_gemma":[0.00006489451,0.002389843,0.002667431,0.00001212259,0.00006002579,0.0000650921,0.0000607191,0.03822972,0.9555137,0.00009782941,0.000804381,0.00003413685],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922699,0.000348026,0.006337125,0.00004455167,0.00002231256,0.00008199269,0.0003663565,0.00007349806,0.0004562086],"genre_scores_gemma":[0.9896545,0.0005112336,0.008848531,0.00002366809,0.000006887313,0.0001267702,0.0002963112,0.000009336796,0.0005227015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001755426,"threshold_uncertainty_score":0.00447619,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2324201540","doi":"10.3808/jei.201200216","title":"Distribution of Polychlorinated Biphenyls (PCBs) and Toxic Equivalency of Dioxin-Like PCB Congeners in Rural Soils of Beijing, China","year":2012,"lang":"en","type":"article","venue":"Journal of Environmental Informatics","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; Program for New Century Excellent Talents in University","keywords":"Beijing; Congener; Soil water; Environmental science; Environmental chemistry; China; Pollution; Persistent organic pollutant; Environmental engineering; Contamination; Geography; Chemistry; Ecology; Soil science; Biology","authors":[{"name":"Shuai Wu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007676352324775241,"gpt":0.2227586962785481,"spread":0.2150823439537729,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001649061,0.0003185767,0.0001841108,0.001237396,0.000287346,0.0003691426,0.0001866029,0.0001535012,0.0007075857],"category_scores_gemma":[0.0002463397,0.0001919262,0.0001207377,0.001405568,0.0002598629,0.0002281172,0.0002696786,0.00007833623,0.0001060594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005788418,"about_ca_system_score_gemma":0.0003547619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02131609,"about_ca_topic_score_gemma":0.02805806,"domain_scores_codex":[0.9998034,0.00002615518,0.00001732321,0.00005994058,0.00005441126,0.00003877758],"domain_scores_gemma":[0.9997821,0.00002082158,0.00007879301,0.00001229887,0.00006115288,0.00004482889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001236606,0.00004128774,0.9526973,0.00007404514,0.00006731492,0.0004485036,0.0006716884,0.0003388972,0.03333173,0.0001004724,0.0001152584,0.01198994],"study_design_scores_gemma":[0.000002996989,0.00003068505,0.9984772,0.000001714446,0.000009772378,0.0001225429,0.0002293657,0.0001570506,0.0007347546,0.00002811903,0.0002027897,0.000003058313],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993277,0.00009729353,0.0001068163,0.00001306599,8.81003e-7,0.000003750351,0.000117964,0.000003029559,0.000329622],"genre_scores_gemma":[0.9990345,0.0001020204,0.0001016313,0.000008269007,0.000002015476,0.000005134216,0.0002154766,0.000001246318,0.000529561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02131609,"threshold_uncertainty_score":0.04238403,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2615318020","doi":"10.3808/jei.201600353","title":"Probabilistic Evaluation of Causal Relationship between Variables for Water Quality Management","year":2016,"lang":"en","type":"article","venue":"Journal of Environmental Informatics","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; University of Calgary","keywords":"Multivariate statistics; Probabilistic logic; Joint probability distribution; Variable (mathematics); Context (archaeology); Marginal distribution; Econometrics; Conditional probability distribution; Variables; Causality (physics); Statistics; Computer science; Multivariate normal distribution; Data mining; Random variable; Mathematics; Geography","authors":[{"name":"Jianxun He","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1043757445224147,"gpt":0.338945559622955,"spread":0.2345698151005403,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008168776,0.0006045486,0.0007275881,0.002452251,0.0004259863,0.001552522,0.0009258135,0.0008727849,0.001923923],"category_scores_gemma":[0.02816604,0.0004440575,0.001060419,0.001853144,0.001005034,0.00243776,0.001471539,0.001178326,0.0001330314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001063497,"about_ca_system_score_gemma":0.001478152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005064876,"about_ca_topic_score_gemma":0.00456438,"domain_scores_codex":[0.9963185,0.002311633,0.0001741686,0.0004363733,0.0006257487,0.0001336018],"domain_scores_gemma":[0.9810402,0.01677921,0.0009995735,0.0004364199,0.0005797271,0.000164919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001723478,0.000117381,0.01495815,0.0002162021,0.000164623,0.0001669682,0.0002776262,0.8321856,0.001818013,0.06990763,0.0004650086,0.07955047],"study_design_scores_gemma":[0.000005838302,0.00003513728,0.002049942,0.00001588131,0.00002621426,0.00003021525,0.00004428487,0.9698183,0.0003381558,0.02725847,0.0003614542,0.00001612427],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03660399,0.0003072491,0.9618437,0.0002383257,0.00001275299,0.00005201439,0.0001355908,0.0001330186,0.0006733286],"genre_scores_gemma":[0.8146448,0.0005226996,0.1835446,0.00006184323,0.00005237672,0.0001597611,0.000362969,0.00004383887,0.0006070995],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008168776,"threshold_uncertainty_score":0.04320109,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4399996119","doi":"10.3808/jei.202400522","title":"Projected Changes in Temperature and Precipitation over Canada in the 21st Century","year":2024,"lang":"en","type":"article","venue":"Journal of Environmental Informatics","topic":"Climate variability and models","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Mitacs","keywords":"Precipitation; Environmental science; Geography; Climatology; Meteorology; Geology","authors":[{"name":"Y. H. Wu","is_ca":false},{"name":"C. Z. Huang","is_ca":false},{"name":"Weiheng Huang","is_ca":false},{"name":"Xiujuan Chen","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007259353715008143,"gpt":0.2090112984445775,"spread":0.2017519447295694,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004035583,0.0004340548,0.0002163484,0.0007775819,0.0008273031,0.001167555,0.0004978435,0.0003524974,0.002219426],"category_scores_gemma":[0.0009752319,0.0001332128,0.0006898216,0.002303986,0.0002576716,0.0005438534,0.0003803475,0.000525369,0.0002563743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0166999,"about_ca_system_score_gemma":0.03561117,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9828181,"about_ca_topic_score_gemma":0.9845045,"domain_scores_codex":[0.9996228,0.00002883705,0.00001467533,0.00004469472,0.0001766467,0.0001124127],"domain_scores_gemma":[0.9993267,0.00002009378,0.00004352232,0.00001310399,0.0005408814,0.00005576451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000235336,0.0001076529,0.4679334,0.0005295553,0.0006324488,0.0005678625,0.0005370511,0.3631664,0.003769971,0.01454073,0.0514675,0.09651203],"study_design_scores_gemma":[0.0001057265,0.00008621282,0.6456822,0.0002294233,0.0003586074,0.0002212426,0.001902723,0.2283268,0.002685844,0.005577759,0.1146153,0.000208233],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8372244,0.005284947,0.01454315,0.008811941,0.0003646093,0.0001113296,0.08679182,0.001084582,0.04578329],"genre_scores_gemma":[0.9628662,0.004255355,0.0068887,0.0005306157,0.00002959235,0.0000511504,0.01978233,0.00004285171,0.005553187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01718187,"threshold_uncertainty_score":0.1211668,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}