{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":11,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":11,"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"},"query_hash":"7069383d92e8","filters":{"venue":"J — Multidisciplinary Scientific Journal"}},"results":[{"id":"W2995521707","doi":"10.3390/j3010001","title":"Night Matters—Why the Interdisciplinary Field of “Night Studies” Is Needed","year":2020,"lang":"en","type":"article","venue":"J — Multidisciplinary Scientific Journal","topic":"Impact of Light on Environment and Health","field":"Environmental Science","cited_by":46,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"Horizon 2020 Framework Programme; Leibniz-Gemeinschaft; Helmholtz Association; National Science Foundation","keywords":"Discipline; Field (mathematics); Interdisciplinarity; Sociology; Inequality; Engineering ethics; Social science; Political science; Environmental ethics; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.04259430128179081,"gpt":0.3323762818689157,"spread":0.2897819805871248,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001577183,0.000325507,0.0004315118,0.0001016823,0.001995957,0.0001798985,0.001157482,0.0001054161,0.006606083],"category_scores_gemma":[0.00007169328,0.0002013097,0.0003122631,0.0006517173,0.001036443,0.0007387535,0.001981956,0.0007059032,0.0009124135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002333224,"about_ca_system_score_gemma":0.00005287394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001937158,"about_ca_topic_score_gemma":0.00002431468,"domain_scores_codex":[0.9964401,0.0002024601,0.0008589428,0.0005762005,0.001133532,0.0007887919],"domain_scores_gemma":[0.9981021,0.0002186945,0.0005241527,0.0005549847,0.00003276432,0.0005672599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002910747,0.0003155818,0.04840137,0.00006557446,0.0001127558,0.00008302909,0.09121709,0.0003634699,0.02251037,0.00001697012,0.8342925,0.002330214],"study_design_scores_gemma":[0.00831586,0.006133923,0.3141485,0.0008600856,0.0006572903,0.001105023,0.2085332,0.02122045,0.08518369,0.01263919,0.3375896,0.003613156],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7709106,0.0003896162,0.0005119307,0.2245379,0.001546735,0.0003273585,0.00001701008,0.00002795693,0.001730822],"genre_scores_gemma":[0.9865056,0.00009560093,0.001079915,0.00888129,0.0003861449,0.00000800314,0.000005956837,0.00003114684,0.003006318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4967029,"threshold_uncertainty_score":0.9998655,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4406398994","doi":"10.3390/j8010004","title":"Plant Leaf Disease Detection Using Deep Learning: A Multi-Dataset Approach","year":2025,"lang":"en","type":"article","venue":"J — Multidisciplinary Scientific Journal","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","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":"Trent University; Nottingham Trent University","keywords":"Artificial intelligence; Deep learning; Computer science; Plant disease; Machine learning; Pattern recognition (psychology); Biology; Biotechnology","retraction":null,"screen_n_in":null,"score":{"opus":0.03309233450345893,"gpt":0.2616121466747317,"spread":0.2285198121712728,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0008500293,0.0002548743,0.0002282945,0.00009368077,0.003290553,0.0007718002,0.0004786443,0.0001163782,0.0001178979],"category_scores_gemma":[0.0001024382,0.00009714798,0.0002154956,0.001027677,0.0001836078,0.0004844262,0.0002768318,0.0005910023,0.00004687482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001008312,"about_ca_system_score_gemma":0.00004383896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000336013,"about_ca_topic_score_gemma":0.0002347075,"domain_scores_codex":[0.997785,0.0002152377,0.000411791,0.0006115302,0.0004351872,0.0005412155],"domain_scores_gemma":[0.9990764,0.00009308598,0.000209534,0.0001165523,0.0001420708,0.0003623259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006059219,0.002271441,0.1325041,0.00007944699,0.000156798,0.0002406645,0.001285829,0.008743039,0.777185,0.00005535134,0.01091403,0.06595839],"study_design_scores_gemma":[0.001315714,0.0002065913,0.6661132,0.0001878769,0.000207596,0.0003945304,0.00682389,0.2247138,0.002640802,0.0003472081,0.09612679,0.0009220488],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951807,0.0005481292,0.001347712,0.000429641,0.001761937,0.0002735524,0.0002721729,0.00007625206,0.0001099028],"genre_scores_gemma":[0.994814,0.00002147658,0.0009838318,0.00004623065,0.000539756,0.00001125728,0.001393711,0.00000186078,0.002187892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7745442,"threshold_uncertainty_score":0.998007,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3206500034","doi":"10.3390/j4040045","title":"Can a Wastewater Treatment Plant Power Itself? Results from a Novel Biokinetic-Thermodynamic Analysis","year":2021,"lang":"en","type":"article","venue":"J — Multidisciplinary Scientific Journal","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"","keywords":"Brayton cycle; Exergy; Environmental science; Exergy efficiency; Gas compressor; Waste management; Activated sludge; Rankine cycle; Turbine; Waste heat; Process engineering; Environmental engineering; Wastewater; Engineering; Power (physics); Thermodynamics; Mechanical engineering; Heat exchanger","retraction":null,"screen_n_in":null,"score":{"opus":0.01876023200582028,"gpt":0.229725704697844,"spread":0.2109654726920238,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005699279,0.0004778319,0.0005688186,0.0003517109,0.001531825,0.0004760213,0.000566606,0.0001247372,0.001724842],"category_scores_gemma":[0.00005086428,0.0003441786,0.0005024424,0.001697424,0.0005175747,0.0003340394,0.0008959186,0.0002638162,0.0002569154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008328813,"about_ca_system_score_gemma":0.0001074309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009684805,"about_ca_topic_score_gemma":0.01006634,"domain_scores_codex":[0.9956616,0.0001879548,0.0008572117,0.00133237,0.001034628,0.000926285],"domain_scores_gemma":[0.998001,0.0001313474,0.0003558134,0.0009747691,0.00006640178,0.0004706578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0007029735,0.003626016,0.02332288,0.000006256482,0.003459845,0.002867075,0.03259216,0.03160403,0.8953339,0.0001565626,0.004957215,0.001371066],"study_design_scores_gemma":[0.01329541,0.001247164,0.6630176,0.0002205304,0.00337177,0.001461012,0.0155128,0.1807151,0.09044834,0.01245958,0.01502767,0.003223001],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869279,0.0001635523,0.0002346794,0.00285001,0.001491633,0.0001397811,0.003041204,0.00005405709,0.005097134],"genre_scores_gemma":[0.9857401,0.00001665234,0.003112102,0.0000328052,0.0001229175,0.00001483406,0.0005319049,0.00003389769,0.01039479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8048856,"threshold_uncertainty_score":0.999901,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4379230182","doi":"10.3390/j6020023","title":"Benchmarking Thermodynamic Models for Optimization of PSA Oxygen Generators","year":2023,"lang":"en","type":"article","venue":"J — Multidisciplinary Scientific Journal","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Flexibility (engineering); Benchmarking; Process (computing); Generator (circuit theory); Key (lock); Volume (thermodynamics); Industrial engineering; Systems engineering; Process engineering; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.02929188201087597,"gpt":0.3036993172306243,"spread":0.2744074352197483,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001339935,0.0001280315,0.0002452437,0.0005245532,0.0006554556,0.00009483902,0.0001169133,0.0000859856,0.00003336177],"category_scores_gemma":[0.0000588205,0.0001012259,0.0002946265,0.0007821968,0.0001390268,0.0003038901,0.00007142464,0.0001518052,0.000009134352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008434609,"about_ca_system_score_gemma":0.0002354762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001694858,"about_ca_topic_score_gemma":0.000002860095,"domain_scores_codex":[0.9984421,0.00004799041,0.0004362629,0.0002838654,0.0004821768,0.0003076757],"domain_scores_gemma":[0.9988939,0.00007869448,0.0002326547,0.0002248971,0.0004128795,0.0001569715],"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":[0.0001934649,0.0000923336,0.004273998,0.0001091057,0.00009136196,0.00001998123,0.002900179,0.9455714,0.03914014,0.00011286,0.002551613,0.004943614],"study_design_scores_gemma":[0.001068753,0.00007485064,0.01784102,0.0001384165,0.00008452722,0.00002773417,0.0009664744,0.9777504,0.0004578205,0.001387891,0.00008723998,0.0001148999],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8889561,0.000129809,0.104171,0.0003765509,0.005514523,0.0004637862,0.00003589637,0.00005076979,0.0003015092],"genre_scores_gemma":[0.9773523,0.00006088976,0.02100668,0.000006850657,0.0006806024,0.00001740863,0.0002670115,0.00002846049,0.0005798246],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08839612,"threshold_uncertainty_score":0.5041301,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3207654339","doi":"10.3390/j4040044","title":"Benchmarking Free Energy Calculations in Liquid Aliphatic Ketone Solvents Using the 3D-RISM-KH Molecular Solvation Theory","year":2021,"lang":"en","type":"article","venue":"J — Multidisciplinary Scientific Journal","topic":"Spectroscopy and Quantum Chemical Studies","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"National Institute for Nanotechnology; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Consortium canadien en neurodégénérescence associée au vieillissement; Western Canada Research Grid; Compute Canada","keywords":"Solvation; Ketone; Benchmarking; Implicit solvation; Chemistry; Computational chemistry; Solvent; Force field (fiction); Thermodynamics; Organic chemistry; Computer science; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.0184227107703524,"gpt":0.2916713419774964,"spread":0.273248631207144,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.000952514,0.0001972098,0.0002249606,0.0001224578,0.001632221,0.0003144003,0.0003421131,0.00004908862,0.0004890565],"category_scores_gemma":[0.00004878265,0.0001505583,0.0001965206,0.0006641122,0.0002381417,0.0003114111,0.0004056335,0.0003681703,0.000004821421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001288943,"about_ca_system_score_gemma":0.0001989299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005634642,"about_ca_topic_score_gemma":0.0000399299,"domain_scores_codex":[0.9979352,0.0002308568,0.0005009178,0.0003830767,0.0004459222,0.000504001],"domain_scores_gemma":[0.9989219,0.000155729,0.0002402251,0.0003994784,0.0001712222,0.0001114422],"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":[0.0001677122,0.001166135,0.02944056,0.00002725554,0.000425226,0.0001764156,0.008036237,0.03019055,0.881214,0.04304079,0.0007729027,0.005342265],"study_design_scores_gemma":[0.004096674,0.0001911926,0.01289309,0.0008697833,0.0004231535,0.000121989,0.02004969,0.3002339,0.3429023,0.3147018,0.002034466,0.001482016],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8859373,0.0006550493,0.1110724,0.0004353003,0.001100645,0.00008395658,0.00002173686,0.00001068684,0.0006828799],"genre_scores_gemma":[0.9953804,0.000007344171,0.003788207,0.00002772085,0.0004342625,0.00001113448,0.00006835856,0.00001697401,0.0002656122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5383117,"threshold_uncertainty_score":0.9996675,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2790336230","doi":"10.3390/j1010003","title":"Enhancing Mentorship in Psychiatry and Health Sciences: A Study Investigating Needs and Preferences in the Development of a Mentoring Program","year":2018,"lang":"en","type":"article","venue":"J — Multidisciplinary Scientific Journal","topic":"Mentoring and Academic Development","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Ottawa; McMaster University; Western University","funders":"","keywords":"Mentorship; Medical education; Medicine; Psychology; Faculty development; Professional development","retraction":null,"screen_n_in":null,"score":{"opus":0.1179591266602832,"gpt":0.4120911932610104,"spread":0.2941320666007272,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01797692,0.0001864256,0.0002645184,0.0007378042,0.001212753,0.0002836,0.0004351572,0.00005670166,0.00001846356],"category_scores_gemma":[0.00007004508,0.0001279082,0.00001959928,0.001310153,0.0005487537,0.0002324542,0.0002300927,0.0004671653,0.000002911107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001169951,"about_ca_system_score_gemma":0.0005628408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008081918,"about_ca_topic_score_gemma":0.001224691,"domain_scores_codex":[0.9966967,0.0004465472,0.001059228,0.0004787745,0.0006487906,0.0006700264],"domain_scores_gemma":[0.9990427,0.000111777,0.0004344971,0.0001729499,0.00005005135,0.0001880262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001022968,0.0004318932,0.6179293,0.00003563464,0.00001336428,0.000001674283,0.3603294,0.000001398021,0.0002116388,0.00008089734,0.00003628299,0.0209183],"study_design_scores_gemma":[0.0008689611,0.0005879931,0.7521396,0.0007090807,0.000005092722,0.00003110156,0.2447246,0.0000816297,0.00007894337,0.0004838374,0.0001464492,0.000142633],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994296,0.0006697457,0.00003165819,0.0005492955,0.003274283,0.0007326583,5.824738e-7,0.00001487996,0.0004309323],"genre_scores_gemma":[0.9836835,0.000006285974,0.01592376,0.00001761227,0.0001410837,0.000077529,9.059174e-7,0.000007430458,0.000141898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1342103,"threshold_uncertainty_score":0.932764,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3213078949","doi":"10.3390/j4040050","title":"Nonlinear Metamaterial Lenses for Inductive Power Transmission Systems Using Duffing-Resonator Based Unit Cells","year":2021,"lang":"en","type":"article","venue":"J — Multidisciplinary Scientific Journal","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal","funders":"Mitacs","keywords":"Metamaterial; Bandwidth (computing); Resonator; Nonlinear system; Electronic engineering; Computer science; Physics; Electrical engineering; Acoustics; Engineering; Optics; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.03460050519299229,"gpt":0.2655934066810951,"spread":0.2309929014881028,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001278409,0.0003620326,0.0004376862,0.0003000787,0.001133751,0.0009374771,0.0003604274,0.0002378092,0.0001099723],"category_scores_gemma":[0.00006244305,0.0003354268,0.0002542882,0.0006178387,0.000160347,0.0005390001,0.00007858243,0.0005346106,0.00001120672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001851626,"about_ca_system_score_gemma":0.0003813476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004730473,"about_ca_topic_score_gemma":0.000005008264,"domain_scores_codex":[0.9972815,0.0002357778,0.00071814,0.0005104724,0.0005521191,0.0007019918],"domain_scores_gemma":[0.9982762,0.0002545102,0.0001910797,0.000388544,0.0005525553,0.0003371479],"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":[0.00003063025,0.00008853391,0.00009121601,0.00009915722,0.00005686876,0.00009818089,0.0004105613,0.5303946,0.4679871,0.00001217692,0.0003238622,0.0004071074],"study_design_scores_gemma":[0.001082496,0.000058887,0.0001476357,0.0005284763,0.00007630044,0.0001725376,0.0005785057,0.8045099,0.1847668,0.00003193143,0.007627142,0.0004194722],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.859565,0.0008867171,0.1251407,0.00003982623,0.01380685,0.0002373639,0.00009869457,0.0001684129,0.00005654107],"genre_scores_gemma":[0.9100881,0.00001713427,0.08776859,0.000006942269,0.001062838,0.00001773735,0.00008082412,0.0001350036,0.000822809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2832203,"threshold_uncertainty_score":0.9999098,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3157314599","doi":"10.3390/j4020010","title":"Potential Use of Indoor Living Walls in Canadian Dwellings","year":2021,"lang":"en","type":"article","venue":"J — Multidisciplinary Scientific Journal","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":2,"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":"Business; Environmental planning; Agriculture; Environmental science; Indoor air quality; Food supply; Food insecurity; Food chain; Quality (philosophy); Coronavirus disease 2019 (COVID-19); Natural resource economics; Environmental economics; Environmental engineering; Food security; Ecology; Economics; Agricultural science; Biology","retraction":null,"screen_n_in":null,"score":{"opus":0.01650401028048559,"gpt":0.2305298166870782,"spread":0.2140258064065926,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001160015,0.0001362535,0.0001777668,0.0002619437,0.0004977317,0.000292422,0.0002604577,0.0000936745,0.002755688],"category_scores_gemma":[0.0002194094,0.0001306241,0.0001070154,0.0007700003,0.0002666455,0.0009548998,0.000228899,0.0003529619,0.0002062038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005078352,"about_ca_system_score_gemma":0.0003807054,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02198282,"about_ca_topic_score_gemma":0.2119592,"domain_scores_codex":[0.9978151,0.0001494746,0.0004986448,0.0003950851,0.0005431131,0.0005985256],"domain_scores_gemma":[0.9989721,0.00008604515,0.0001545486,0.0002846852,0.00006199253,0.0004406925],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009509946,0.0001549922,0.8994706,0.000008192328,0.000008010024,0.0004392042,0.003920703,0.009756302,0.0816393,0.00001031473,0.002786338,0.001796594],"study_design_scores_gemma":[0.0003389732,0.00003356228,0.9708822,0.000152823,0.00001516803,0.0003744487,0.0006664558,0.01903788,0.005048569,0.0003300213,0.002890609,0.0002292615],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973569,0.00006957918,0.0002412258,0.0003567949,0.001278887,0.0001192099,0.00002232836,0.000008059574,0.0005470233],"genre_scores_gemma":[0.9920301,0.00001635307,0.003426274,0.00002377231,0.00006596398,0.000002263462,0.00001548352,0.0000135544,0.004406261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1899764,"threshold_uncertainty_score":0.998156,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2898498458","doi":"10.3390/j1010015","title":"Revisiting the Relationship between Financial Wealth, Housing Wealth, and Consumption: A Panel Analysis for the U.S.","year":2018,"lang":"en","type":"article","venue":"J — Multidisciplinary Scientific Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Economics; Consumption (sociology); Metropolitan area; Wealth elasticity of demand; Incentive; Recession; Quarter (Canadian coin); Great recession; Wealth distribution; National wealth; Distribution (mathematics); Work (physics); Monetary economics; Labour economics; Finance; Macroeconomics; Inequality; Microeconomics","retraction":null,"screen_n_in":null,"score":{"opus":0.1454044955494185,"gpt":0.3101784204113042,"spread":0.1647739248618857,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.007487491,0.0001813167,0.0004031891,0.0004157169,0.007027501,0.0009833857,0.0004070128,0.00011572,0.0001063157],"category_scores_gemma":[0.0008095387,0.0001351154,0.0002767556,0.0007334282,0.0007277405,0.0004255866,0.0001633462,0.0004360208,0.0001180702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001401651,"about_ca_system_score_gemma":0.0001181197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003115067,"about_ca_topic_score_gemma":0.0001490075,"domain_scores_codex":[0.9978352,0.0000755114,0.0009867928,0.0005067579,0.00008084415,0.0005148565],"domain_scores_gemma":[0.9968892,0.001465219,0.0008968626,0.0004717011,0.0001168295,0.0001601295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003081848,0.00001031595,0.9853086,0.00002557849,0.00008797552,9.674537e-7,0.002521546,0.0001556915,0.000001767134,0.004666341,0.0003926484,0.006797736],"study_design_scores_gemma":[0.0004426148,0.00003468559,0.9502454,0.00003411604,0.0001423509,0.00001956346,0.0004035528,0.0221395,0.000001790929,0.01453809,0.01179582,0.000202454],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9500051,0.001388974,0.03917213,0.00621883,0.002067385,0.0003668812,0.0001191586,0.00002554173,0.0006359849],"genre_scores_gemma":[0.9942266,0.0001762827,0.002207138,0.00006379053,0.002672272,0.00001320752,0.00001840942,0.00002109714,0.0006011734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04422151,"threshold_uncertainty_score":0.9942652,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3008837006","doi":"10.3390/j3010008","title":"Sensitivity of Planaria to Weak, Patterned Electric Current and the Subsequent Correlative Interactions with Fluctuations in the Intensity of the Magnetic Field of Earth","year":2020,"lang":"en","type":"article","venue":"J — Multidisciplinary Scientific Journal","topic":"Magnetic and Electromagnetic Effects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Laurentian University","funders":"","keywords":"Planaria; Electric field; Population; Earth's magnetic field; Current (fluid); Magnetic field; Physics; Biology; Regeneration (biology); Medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.01048441100425879,"gpt":0.2582099835546305,"spread":0.2477255725503717,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008900365,0.0001023752,0.0001762423,0.00005638338,0.0001854374,0.0000254453,0.0002100839,0.00003105372,0.00001541951],"category_scores_gemma":[0.0003226274,0.00004983879,0.00007875521,0.0004092295,0.0003271431,0.000007436214,0.0001413652,0.00029715,6.102592e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004945186,"about_ca_system_score_gemma":0.0001131057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005066928,"about_ca_topic_score_gemma":0.0004204661,"domain_scores_codex":[0.9986882,0.0004357969,0.0002912952,0.0001898301,0.0002412523,0.0001536365],"domain_scores_gemma":[0.9990804,0.0002307122,0.0002128505,0.0002391954,0.000181084,0.00005582279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001488151,0.0002172795,0.03960234,0.00005459184,0.00005404378,0.000004795274,0.009934923,0.0007672824,0.942289,0.0001447228,0.001077496,0.004365382],"study_design_scores_gemma":[0.002715298,0.004019364,0.8467526,0.0002142599,0.0001769454,0.0003509793,0.003790158,0.01974715,0.1213607,0.0002797694,0.0003685409,0.0002242607],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925201,0.0003594464,0.002267594,0.004103591,0.0002095266,0.0004221644,0.00001281617,0.000001072909,0.0001036843],"genre_scores_gemma":[0.9996456,0.00002550776,0.0001333195,0.00007344141,0.00004101765,0.000006355873,0.000004485129,0.000004085527,0.00006619962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8209283,"threshold_uncertainty_score":0.2032367,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4401698749","doi":"10.3390/j7030018","title":"Unveiling Wildfire Dynamics: A Bayesian County-Specific Analysis in California","year":2024,"lang":"en","type":"article","venue":"J — Multidisciplinary Scientific Journal","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Precipitation; Elevation (ballistics); Natural disaster; Geography; Climate change; Bayesian probability; Physical geography; Population; Environmental science; Climatology; Demography; Meteorology; Ecology; Statistics; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.006815662201573527,"gpt":0.2376439851022792,"spread":0.2308283229007057,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004036048,0.0003582044,0.0004532209,0.001061856,0.0009367792,0.00147731,0.0007479665,0.0001565862,0.00252032],"category_scores_gemma":[0.00004851012,0.0003035373,0.0004173269,0.005192342,0.0004415702,0.001006849,0.0003577907,0.0008801631,0.002916811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002036717,"about_ca_system_score_gemma":0.00009634261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002342713,"about_ca_topic_score_gemma":0.003695634,"domain_scores_codex":[0.9956686,0.0002808633,0.0008973535,0.001089378,0.001178699,0.0008850431],"domain_scores_gemma":[0.9985721,0.0002040492,0.000181674,0.0006183452,0.00001956271,0.0004043018],"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":[0.00009363298,0.0005922964,0.8565671,0.000118642,0.0003971121,0.003497012,0.006945475,0.06224279,0.008996372,0.00007729685,0.01744229,0.04303],"study_design_scores_gemma":[0.0002827974,0.00004303216,0.08167862,0.0001714911,0.00008942538,0.0002629333,0.0007452322,0.9056668,0.00004347077,0.0003286385,0.0103027,0.0003848056],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9821699,0.001019203,0.009897275,0.0006551849,0.003810295,0.0003533112,0.0001403786,0.0001328795,0.00182161],"genre_scores_gemma":[0.99585,0.00002994005,0.001453315,0.0000117195,0.0001971984,0.00001590253,0.00007384508,0.00004456454,0.002323502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8434241,"threshold_uncertainty_score":0.9999416,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}