{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":15,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":15,"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":"7134fb1d590b","filters":{"venue":"11th World Conference on Transport ResearchWorld Conference on Transport Research Society"}},"results":[{"id":"W780091081","doi":"","title":"Analysis of Routine Weekly Activity/Travel Patterns","year":2007,"lang":"en","type":"article","venue":"11th World Conference on Transport ResearchWorld Conference on Transport Research Society","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Schedule; Flexibility (engineering); Time-use survey; Work schedule; Transport engineering; Computer science; Work (physics); Operations management; Operations research; Statistics; Engineering; Mathematics; Scheduling (production processes)","authors":[{"name":"Matthew J. Roorda","is_ca":false},{"name":"Sheyda Saneinejad","is_ca":false},{"name":"Eric J. Miller","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1609999896077392,"gpt":0.4113344957701716,"spread":0.2503345061624324,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005901634,0.0001831152,0.0001935724,0.002097952,0.0002314848,0.0004973043,0.0003121057,0.0001318292,0.002951604],"category_scores_gemma":[0.002010599,0.0001258023,0.0003439514,0.004070623,0.0001514738,0.0002576063,0.0003868817,0.0001541316,0.0004031797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009645338,"about_ca_system_score_gemma":0.0006321794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09096965,"about_ca_topic_score_gemma":0.1293582,"domain_scores_codex":[0.9996371,0.00009351424,0.00004422413,0.00007699897,0.00008896358,0.00005911029],"domain_scores_gemma":[0.9986255,0.0002608758,0.000406839,0.0001852123,0.0003836051,0.0001379414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001914649,0.00002494499,0.9706025,0.0001404092,0.0001222982,0.0000884914,0.002021819,0.001673329,0.001094315,0.0005146526,0.001400154,0.02212555],"study_design_scores_gemma":[0.000001767374,0.00002743218,0.9953349,0.000008207769,0.00001176108,0.000035217,0.0008661394,0.001644849,0.0001181046,0.00006675252,0.001880293,0.000004560798],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829791,0.0001101882,0.001679198,0.00003532783,0.000004163034,0.0001017489,0.01147973,0.00005760801,0.003552744],"genre_scores_gemma":[0.9901608,0.00008808644,0.001112658,0.000004044841,0.000003954581,0.00006457345,0.007357502,0.00001282069,0.001195522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09096965,"threshold_uncertainty_score":0.1808803,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W211698518","doi":"","title":"A Framework for Analyzing the Ownership, Tenure and Governance Issues for a Proposed International River Crossing","year":2007,"lang":"en","type":"article","venue":"11th World Conference on Transport ResearchWorld Conference on Transport Research Society","topic":"Transport and Economic Policies","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Corporate governance; Test (biology); Joint (building); Business; Public ownership; Economics; Public economics; Finance; Engineering","authors":[{"name":"Snehamay Khasnabis","is_ca":false},{"name":"Sabyasachee Mishra","is_ca":false},{"name":"Anthony Brinkman","is_ca":false},{"name":"Chirag Safi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1495021426704006,"gpt":0.3749667884606231,"spread":0.2254646457902225,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006458277,0.0008109768,0.0007681048,0.003324311,0.002575918,0.005935924,0.002627878,0.002645805,0.009772399],"category_scores_gemma":[0.008419981,0.000576595,0.00252622,0.002866739,0.004930783,0.004777602,0.002526186,0.00342582,0.0005524676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007916593,"about_ca_system_score_gemma":0.007855903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03415942,"about_ca_topic_score_gemma":0.04708165,"domain_scores_codex":[0.9965089,0.001785925,0.0001856642,0.0005199357,0.0005553094,0.0004441875],"domain_scores_gemma":[0.9963233,0.001600738,0.0008037479,0.0003659708,0.0006047632,0.0003014618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000006038917,0.00004172822,0.00184528,0.00002579402,0.00001491266,0.00008745414,0.0002773361,0.03853247,0.0001189878,0.9519386,0.001315179,0.005796115],"study_design_scores_gemma":[0.00002781252,0.00009432085,0.004038963,0.0002046661,0.0000414414,0.0001800103,0.002102794,0.1689788,0.0002259082,0.8015971,0.02244156,0.00006674116],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03558086,0.0005131154,0.9034985,0.0049637,0.00009580641,0.0005900073,0.0007998253,0.00009566764,0.05386255],"genre_scores_gemma":[0.5260513,0.0006352482,0.4617182,0.0004098053,0.00009951225,0.001321038,0.0007221207,0.0000464642,0.008996264],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03415942,"threshold_uncertainty_score":0.06792116,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W644443877","doi":"","title":"Interpersonal Commitments and the Travel/Activity Scheduling Process","year":2007,"lang":"en","type":"article","venue":"11th World Conference on Transport ResearchWorld Conference on Transport Research Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","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":"Scheduling (production processes); Interpersonal communication; Schedule; Work schedule; Operations research; Computer science; Psychology; Business; Operations management; Social psychology; Economics; Engineering","authors":[{"name":"Matthew J. Roorda","is_ca":false},{"name":"Tomás Ruíz","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1685218027777303,"gpt":0.4260530685028011,"spread":0.2575312657250708,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001827448,0.0002675708,0.0001375274,0.0006689,0.001123394,0.001691334,0.000482506,0.0002839632,0.006300103],"category_scores_gemma":[0.01717275,0.0002353305,0.0002356999,0.0005340366,0.00112251,0.001029971,0.001568326,0.0008970462,0.0005581575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001047646,"about_ca_system_score_gemma":0.001260986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01019478,"about_ca_topic_score_gemma":0.006794979,"domain_scores_codex":[0.9976045,0.001460829,0.00008836127,0.0001858924,0.0004026516,0.000257708],"domain_scores_gemma":[0.9832508,0.009360615,0.003785079,0.0008791786,0.0008028143,0.001921561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001348507,0.001500526,0.6437057,0.0002078069,0.0003088537,0.001394417,0.0544637,0.03750857,0.005457616,0.0480453,0.002555235,0.2035038],"study_design_scores_gemma":[0.0001078785,0.0006778971,0.8719499,0.0001190698,0.0001081586,0.0005617613,0.04171463,0.03264955,0.002338604,0.02437337,0.02527687,0.0001223279],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9693033,0.0001400336,0.008105939,0.0004951318,0.00001882556,0.00003239392,0.00007387091,0.00004165765,0.02178891],"genre_scores_gemma":[0.9982937,0.00005524432,0.0007286352,0.00001199624,0.000008767904,0.00001135982,0.00004165445,0.00001020243,0.0008383733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01019478,"threshold_uncertainty_score":0.0210759,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W753911800","doi":"","title":"Microbehavioural Location Choice Process: Estimation of a Random Parameter Model for Residential Mobility","year":2007,"lang":"en","type":"article","venue":"11th World Conference on Transport ResearchWorld Conference on Transport Research Society","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","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":"Estimation; Econometrics; Stressor; Random effects model; Process (computing); Residential area; Computer science; Operations research; Economics; Engineering; Psychology","authors":[{"name":"Muhammad Ahsanul Habib","is_ca":false},{"name":"Eric J Miller","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2119503470413754,"gpt":0.4378076458343197,"spread":0.2258572987929443,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007784399,0.0007882486,0.001716056,0.0016072,0.0007159656,0.002017016,0.003830796,0.00302469,0.00463152],"category_scores_gemma":[0.02329627,0.0009676754,0.001904074,0.001773906,0.001787962,0.003208079,0.002133581,0.002998399,0.001348915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001620294,"about_ca_system_score_gemma":0.001078635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0117593,"about_ca_topic_score_gemma":0.006850912,"domain_scores_codex":[0.9958023,0.002582008,0.0001052118,0.0009136792,0.0002955108,0.0003013714],"domain_scores_gemma":[0.987318,0.00991347,0.001271993,0.0008155851,0.0004369498,0.0002441285],"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":[0.0002816618,0.0003310152,0.03785795,0.0001360645,0.0003124539,0.0005028679,0.000865535,0.7323217,0.0006829266,0.1918434,0.001714532,0.03314974],"study_design_scores_gemma":[0.00004309681,0.00009563989,0.002749031,0.00001697299,0.00002908827,0.00009384839,0.0001358866,0.9646792,0.0001593692,0.03116171,0.0008029472,0.0000333147],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1100695,0.0001477057,0.8866969,0.0007669232,0.00003678108,0.0002416018,0.000554139,0.0002243372,0.001262111],"genre_scores_gemma":[0.8451923,0.0003782419,0.1471063,0.0001552292,0.00007820016,0.0008556612,0.001172927,0.00005742312,0.005003677],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0117593,"threshold_uncertainty_score":0.04116833,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W99468307","doi":"","title":"Downloading Public Ports: Challenges of Governance for Lower Tiers of Public Administration","year":2007,"lang":"en","type":"article","venue":"11th World Conference on Transport ResearchWorld Conference on Transport Research Society","topic":"Maritime Ports and Logistics","field":"Engineering","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":"Port (circuit theory); Devolution (biology); Corporate governance; Divestment; Process (computing); Business; Administration (probate law); Public administration; Upload; Focus (optics); Public relations; Process management; Political science; Computer science; Engineering; Finance; Sociology","authors":[{"name":"Jean Debrie","is_ca":false},{"name":"Élisabeth Gouvernal","is_ca":false},{"name":"Brian Slack","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1999852531856224,"gpt":0.3521752454183306,"spread":0.1521899922327083,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01080714,0.0001866213,0.0004273067,0.001325539,0.006741017,0.02717349,0.001539851,0.003188349,0.007801355],"category_scores_gemma":[0.02271083,0.0003187523,0.0004220758,0.003163541,0.01573154,0.01498336,0.007797761,0.005080071,0.0007788304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009992406,"about_ca_system_score_gemma":0.01401035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03256897,"about_ca_topic_score_gemma":0.03521465,"domain_scores_codex":[0.990422,0.004843859,0.0003557414,0.0009817607,0.001314492,0.002082133],"domain_scores_gemma":[0.9795297,0.009214495,0.002206898,0.003262073,0.002839523,0.002947327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001666878,0.0000413562,0.007005322,0.00004584665,0.00001036468,0.0001164765,0.007813573,0.002093535,0.0002282461,0.9458669,0.004243894,0.03251782],"study_design_scores_gemma":[0.00002483237,0.00006413797,0.01500196,0.0002189346,0.00001906544,0.0001913182,0.02775483,0.006678227,0.0005864965,0.7849775,0.1644191,0.00006365676],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3319621,0.001431597,0.1237191,0.1319354,0.0002249113,0.0002403821,0.0001534549,0.000503629,0.4098294],"genre_scores_gemma":[0.9811345,0.0002821807,0.003732063,0.001258648,0.00007313247,0.00006420442,0.00003193453,0.00004174022,0.01338155],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03256897,"threshold_uncertainty_score":0.07250029,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W574081526","doi":"","title":"Los Angeles Cargo Forecasting Model Development","year":2007,"lang":"en","type":"article","venue":"11th World Conference on Transport ResearchWorld Conference on Transport Research Society","topic":"Urban and Freight Transport Logistics","field":"Engineering","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":"Truck; Metropolitan area; Transport engineering; Calibration; Commodity; Operations research; Computer science; Geography; Engineering; Business; Finance","authors":[{"name":"Maren Outwater","is_ca":false},{"name":"Vamsee Modugula","is_ca":false},{"name":"John Stesney","is_ca":false},{"name":"Michael F. Clarke","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2926587272113089,"gpt":0.3354846302596264,"spread":0.04282590304831746,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004091917,0.0007888686,0.0004851015,0.0007507696,0.0005116313,0.001181175,0.001631722,0.0005579202,0.01355547],"category_scores_gemma":[0.00121258,0.0004501252,0.0006338989,0.001154017,0.0001558683,0.001078772,0.0005694276,0.0009688405,0.004274493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001982573,"about_ca_system_score_gemma":0.002513572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1623556,"about_ca_topic_score_gemma":0.07304832,"domain_scores_codex":[0.9997966,0.00003998238,0.00001192559,0.00004993347,0.00007583322,0.00002576142],"domain_scores_gemma":[0.9995531,0.00005660107,0.00002388531,0.00002934986,0.0003190548,0.00001799153],"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":[0.0000390871,0.00004067176,0.002396535,0.00004766905,0.00002598959,0.0000797312,0.00004388603,0.9068128,0.0002698746,0.009740582,0.05216565,0.02833749],"study_design_scores_gemma":[0.00001404974,0.000007031798,0.0004606751,0.00001545704,0.000008365101,0.00001216537,0.00001903194,0.9723741,0.0003245815,0.001474082,0.02527839,0.00001216817],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1146109,0.001267308,0.4510454,0.004196622,0.0007971265,0.0008275941,0.06583361,0.01971526,0.3417062],"genre_scores_gemma":[0.547905,0.00215034,0.2233793,0.0003997473,0.0002120446,0.001867185,0.07864019,0.001799694,0.1436466],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1623556,"threshold_uncertainty_score":0.3228211,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W608945925","doi":"","title":"Development of a Microsimulation Model of Weekend Travel by Households in Calgary","year":2007,"lang":"en","type":"article","venue":"11th World Conference on Transport ResearchWorld Conference on Transport Research Society","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Microsimulation; Econometrics; Calibration; Monte Carlo method; Estimation; Aggregate (composite); Survey data collection; Work (physics); Computer science; Transport engineering; Statistics; Economics; Engineering; Mathematics","authors":[{"name":"John Douglas Hunt","is_ca":false},{"name":"Kevin Stefan","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1856484905704804,"gpt":0.3919951945318897,"spread":0.2063467039614093,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007106406,0.0004295627,0.0006651027,0.0004189632,0.0005560494,0.0008202583,0.001446536,0.0009310911,0.002592525],"category_scores_gemma":[0.002238864,0.0005942868,0.000711269,0.0006680478,0.0005822073,0.0007458157,0.0009198683,0.001094417,0.0002606955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003255097,"about_ca_system_score_gemma":0.002188852,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2350326,"about_ca_topic_score_gemma":0.1106211,"domain_scores_codex":[0.9996718,0.0001236304,0.00001411577,0.00007657997,0.00003420145,0.00007972259],"domain_scores_gemma":[0.9993395,0.0003168881,0.00009975197,0.0000444191,0.0001450958,0.00005436703],"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":[0.00001070742,0.00000939951,0.0008628823,0.000003489217,0.000008094836,0.000009924699,0.00002374671,0.996642,0.00008817043,0.001750462,0.00006709443,0.0005240528],"study_design_scores_gemma":[0.00000527708,0.000009304838,0.0004972168,0.000001444204,0.000004257616,0.000002127553,0.00002320038,0.9987859,0.00006013608,0.0004461082,0.0001617426,0.000003276057],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6664972,0.0001335849,0.3211788,0.0006880912,0.00004186034,0.0002045231,0.001669881,0.0003185887,0.009267552],"genre_scores_gemma":[0.9739603,0.0001080063,0.02067192,0.00005443034,0.00001256511,0.000259036,0.0007825097,0.00003683419,0.004114478],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7649674,"threshold_uncertainty_score":0.467329,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W230616052","doi":"","title":"A Bi-Objective Optimization Model for the Railroad Transportation of Hazardous Materials","year":2007,"lang":"en","type":"article","venue":"11th World Conference on Transport ResearchWorld Conference on Transport Research Society","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Hazardous waste; Train; Transport engineering; Work (physics); Yard; Flow network; Engineering; Routing (electronic design automation); Operations research; Computer science; Mathematical optimization; Waste management","authors":[{"name":"Manish Verma","is_ca":false},{"name":"Vedat Verter","is_ca":false},{"name":"Michel Gendreau","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.3072069956595134,"gpt":0.4508618544572116,"spread":0.1436548587976981,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001853096,0.001903012,0.001493311,0.001045979,0.0008201141,0.002155997,0.002141164,0.002711454,0.00676927],"category_scores_gemma":[0.00188054,0.0008187516,0.001409266,0.001631781,0.0009485431,0.001585508,0.001200004,0.002329543,0.001105436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002293119,"about_ca_system_score_gemma":0.0026902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01437369,"about_ca_topic_score_gemma":0.01108734,"domain_scores_codex":[0.9990845,0.0003792391,0.00003481131,0.0001538307,0.0002173498,0.0001302764],"domain_scores_gemma":[0.9992934,0.0004258953,0.00007665552,0.00002492137,0.0001314288,0.00004776087],"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":[0.00001077301,0.00001794376,0.00006555974,0.00003665191,0.00001269497,0.00003524992,0.00001374595,0.9878772,0.0001876629,0.009432307,0.000311511,0.001998649],"study_design_scores_gemma":[0.000007361682,0.00002343014,0.00005070718,0.000006861607,0.000007691718,0.000009983417,0.000009860653,0.9953858,0.00006256476,0.00366452,0.000765675,0.000005647645],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01157541,0.0005605197,0.9700374,0.0006211406,0.00008767928,0.0001993286,0.0005402274,0.0002120697,0.01616622],"genre_scores_gemma":[0.575261,0.002344495,0.3711248,0.0004627143,0.0001179754,0.002500892,0.001222493,0.0002351755,0.04673044],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01437369,"threshold_uncertainty_score":0.02858007,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W337442820","doi":"","title":"Role of GIS in Improving the Reliability of Estimating Urban Travel Factors","year":2007,"lang":"en","type":"article","venue":"11th World Conference on Transport ResearchWorld Conference on Transport Research Society","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Reliability (semiconductor); Geographic information system; Estimation; Transport engineering; Travel time; Computer science; Transportation planning; GIS applications; Econometrics; Operations research; Geography; Engineering; Cartography; Mathematics","authors":[{"name":"Ata M. Khan","is_ca":false},{"name":"Jennifer M. Armstrong","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09864116721639571,"gpt":0.3724770079525553,"spread":0.2738358407361596,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01242381,0.001241181,0.0008251183,0.0032111,0.000395031,0.002155777,0.0007049788,0.0006613888,0.001018483],"category_scores_gemma":[0.07421489,0.0006273892,0.0004203644,0.003878207,0.0009023121,0.002210781,0.00158668,0.0008262218,0.000413469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004973187,"about_ca_system_score_gemma":0.0008301368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01010007,"about_ca_topic_score_gemma":0.007302305,"domain_scores_codex":[0.9895292,0.007863021,0.0003835258,0.0004510144,0.001644227,0.0001289974],"domain_scores_gemma":[0.9215168,0.06028099,0.002578063,0.007160965,0.008214497,0.0002487013],"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":[0.0005806701,0.00008642695,0.1615796,0.0003558099,0.0002820745,0.0003608729,0.001069808,0.4974048,0.004299534,0.007001865,0.002396651,0.324582],"study_design_scores_gemma":[0.000033774,0.0002375085,0.04958398,0.0001799802,0.0001225891,0.0003175476,0.001239147,0.9209217,0.008004017,0.0121672,0.007091582,0.0001009588],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3484742,0.002361567,0.6343092,0.001274605,0.00009245326,0.000201277,0.001406259,0.00222509,0.009655276],"genre_scores_gemma":[0.8085514,0.0005482398,0.1898507,0.00006579157,0.00003699004,0.00004687915,0.000406593,0.0001114455,0.0003820478],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01242381,"threshold_uncertainty_score":0.06570417,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W40489854","doi":"","title":"Park & Ride User Path Problem: Findings from On-Board Surveys","year":2007,"lang":"en","type":"article","venue":"11th World Conference on Transport ResearchWorld Conference on Transport Research Society","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Park and ride; Transport engineering; Path (computing); Transit (satellite); On board; Computer science; Public transport; Operations research; Geography; Engineering; Computer network","authors":[{"name":"Martin Trépanier","is_ca":false},{"name":"Catherine Morency","is_ca":false},{"name":"Isabelle Gossmann","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1413763903675238,"gpt":0.3866558977770246,"spread":0.2452795074095008,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001893623,0.0003235457,0.0003877006,0.0008489325,0.0005350569,0.0007565561,0.000950226,0.0007973018,0.002309432],"category_scores_gemma":[0.01714357,0.0002411332,0.0003621645,0.00164285,0.0005667925,0.0008637959,0.0007122158,0.0006903093,0.0004487474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001338427,"about_ca_system_score_gemma":0.001124118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3461588,"about_ca_topic_score_gemma":0.3865809,"domain_scores_codex":[0.9982468,0.0008331063,0.00007558364,0.0002121729,0.0003946164,0.0002377471],"domain_scores_gemma":[0.985657,0.007809131,0.0028967,0.0008514881,0.001998649,0.0007870788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001608089,0.0004281995,0.972007,0.00007086014,0.00008179655,0.00009455757,0.001614561,0.004061074,0.0002578969,0.0003939835,0.002296257,0.01853302],"study_design_scores_gemma":[0.00002301666,0.0002570057,0.9755377,0.00003617063,0.00003534389,0.0001361591,0.007239352,0.01295223,0.0002700629,0.0002294085,0.003259392,0.00002421344],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967725,0.00008937992,0.0006465112,0.0001919347,0.000002166792,0.00004532012,0.001080861,0.00001381193,0.001157607],"genre_scores_gemma":[0.9963586,0.0001646624,0.0006271507,0.00006027925,0.000003550625,0.00003410712,0.001909067,0.000007831899,0.0008347121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3461588,"threshold_uncertainty_score":0.6882878,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W648864809","doi":"","title":"Appraisal of Transport Policy and Strategic Plans in Canadian Urban Areas: A Survey of Planners and Policy-Makers in Government Agencies across Canada","year":2007,"lang":"en","type":"article","venue":"11th World Conference on Transport ResearchWorld Conference on Transport Research Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Government (linguistics); Process (computing); Transportation planning; Business; Sustainable transport; Transport policy; Urban planning; Environmental planning; Sustainability; Transport engineering; Geography; Engineering; Computer science; Public transport; Civil engineering","authors":[{"name":"Marianne Hatzopoulou","is_ca":false},{"name":"E J Miller","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1341443099241011,"gpt":0.4073675636736689,"spread":0.2732232537495678,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006888467,0.0004225294,0.0005392185,0.004794369,0.01261605,0.005275848,0.001898855,0.0009681397,0.003485343],"category_scores_gemma":[0.02079424,0.0006840061,0.0005136377,0.01200239,0.002969147,0.001605823,0.003154816,0.001646241,0.0003011011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1228137,"about_ca_system_score_gemma":0.1899813,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9933832,"about_ca_topic_score_gemma":0.9957809,"domain_scores_codex":[0.9909512,0.0009899478,0.0006109828,0.000401241,0.004765794,0.002280881],"domain_scores_gemma":[0.9833909,0.002498249,0.002176176,0.0003086915,0.007786439,0.003839492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002700875,0.0002916185,0.5973517,0.0009301253,0.00009097967,0.00111562,0.216884,0.00275578,0.001148589,0.008688895,0.03176355,0.1387091],"study_design_scores_gemma":[0.00003175789,0.00009290167,0.4484556,0.0004762091,0.00003657612,0.0002304655,0.4464565,0.002079742,0.0003509448,0.0006565691,0.1009603,0.0001725586],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9703974,0.002466819,0.0004007589,0.008149551,0.00003705613,0.0005029496,0.001268775,0.00003600314,0.01674078],"genre_scores_gemma":[0.9903188,0.003737707,0.0009425893,0.0006474264,0.000008345067,0.0001153625,0.0006337313,0.00001384188,0.003582306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1228137,"threshold_uncertainty_score":0.8910797,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W616392441","doi":"","title":"An Econometric Analysis of the Impact of Electronic Vehicle Management Systems on the Load Factor of Trucks Operating in Quebec","year":2007,"lang":"en","type":"article","venue":"11th World Conference on Transport ResearchWorld Conference on Transport Research Society","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Truck; Trailer; Transport engineering; Econometric model; TRIPS architecture; Load factor; Engineering; Economics; Econometrics; Automotive engineering","authors":[{"name":"Philippe Barla","is_ca":false},{"name":"Denis Bolduc","is_ca":false},{"name":"Nathalie Boucher","is_ca":false},{"name":"Jonathan Watters","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07664439589588051,"gpt":0.3533531595513792,"spread":0.2767087636554987,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001159088,0.0004632911,0.0004381907,0.0006784099,0.0007948208,0.001381555,0.001206361,0.0007199099,0.005754945],"category_scores_gemma":[0.003975809,0.0003129206,0.0007366573,0.001731314,0.0006635964,0.0005027168,0.0005969774,0.001225272,0.0004874613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02264877,"about_ca_system_score_gemma":0.007355795,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9730022,"about_ca_topic_score_gemma":0.9525918,"domain_scores_codex":[0.9991548,0.0002692387,0.00002413655,0.0001011998,0.0001126415,0.0003379558],"domain_scores_gemma":[0.9969602,0.001612742,0.0003791578,0.0001196612,0.0006596785,0.00026853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007639461,0.0008468169,0.6164792,0.0001083606,0.0004668621,0.00073369,0.0004784596,0.3477071,0.001869558,0.006391448,0.007542077,0.01661236],"study_design_scores_gemma":[0.0000827253,0.0002715582,0.5745509,0.00002695856,0.0001573761,0.00004863628,0.001815858,0.418231,0.0004836651,0.0004541321,0.003809147,0.00006811089],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924681,0.0001412456,0.001189126,0.0006021011,0.000007686576,0.00003856006,0.002871541,0.00004311402,0.002638574],"genre_scores_gemma":[0.9937021,0.0001138388,0.0003254605,0.0000579278,0.000005922411,0.00001717189,0.001927102,0.000006876148,0.003843668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0269978,"threshold_uncertainty_score":0.1643291,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W627099273","doi":"","title":"Vehicle-Type Choice and Neighbourhood Characteristics: The Case of Hamilton, Canada","year":2007,"lang":"en","type":"article","venue":"11th World Conference on Transport ResearchWorld Conference on Transport Research Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Neighbourhood (mathematics); Multinomial logistic regression; Metropolitan area; Geography; Residence; Demographics; Diversity (politics); Geographic information system; Transport engineering; Econometrics; Cartography; Statistics; Demography; Demographic economics; Mathematics; Economics; Sociology; Engineering","authors":[{"name":"Dimitris Potoglou","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1188480719402918,"gpt":0.3825791733513205,"spread":0.2637311014110286,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000575637,0.0002458055,0.0005291359,0.001262735,0.005292006,0.002167269,0.00147654,0.000658122,0.00348152],"category_scores_gemma":[0.002467148,0.0002373722,0.0006436399,0.005142833,0.001297422,0.0005675975,0.001228643,0.0007644697,0.00026542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03843701,"about_ca_system_score_gemma":0.02967871,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9983253,"about_ca_topic_score_gemma":0.9992743,"domain_scores_codex":[0.9990485,0.0001314663,0.00002593128,0.0001166157,0.0001854081,0.0004920115],"domain_scores_gemma":[0.9978181,0.0003381911,0.0002672383,0.0001315776,0.0007874657,0.0006573758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002418713,0.0001261642,0.9600127,0.00007422294,0.000152954,0.00176,0.004821656,0.002674216,0.0003166623,0.009462071,0.004392741,0.01596478],"study_design_scores_gemma":[0.00006156827,0.00005547058,0.965906,0.0001101232,0.0001262709,0.0004413274,0.01682317,0.00658064,0.000187273,0.001545785,0.008084142,0.00007824964],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915316,0.0006029864,0.0002528482,0.0006795443,0.000009195075,0.00004568625,0.001311877,0.000006726639,0.005559468],"genre_scores_gemma":[0.9963245,0.0003690581,0.000265048,0.00008038565,0.000002951198,0.00001417386,0.0003877897,0.000004478923,0.002551535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03843701,"threshold_uncertainty_score":0.2788813,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W659000621","doi":"","title":"Mixed Logit, Latent Class, Data Organization of the Canadian Freight Market: A Microscopic Approach","year":2007,"lang":"en","type":"article","venue":"11th World Conference on Transport ResearchWorld Conference on Transport Research Society","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Market segmentation; Transshipment (information security); Context (archaeology); Truck; Commodity; Industrial organization; Supply and demand; Latent class model; Cluster analysis; Business; Fuzzy logic; Supply chain; Class (philosophy); Operations research; Computer science; Economics; Marketing; Microeconomics; Engineering; Artificial intelligence; Geography; Finance","authors":[{"name":"Jola Babani","is_ca":false},{"name":"Gernot Liedtke","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2263153368242478,"gpt":0.3042091173767869,"spread":0.07789378055253907,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006985209,0.001076708,0.001402031,0.005441682,0.003299577,0.005372706,0.003532503,0.001173314,0.006212537],"category_scores_gemma":[0.01606634,0.001137467,0.001287219,0.006523262,0.003441386,0.003045423,0.002428695,0.001797308,0.0004057383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02746178,"about_ca_system_score_gemma":0.02042266,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8730212,"about_ca_topic_score_gemma":0.8704963,"domain_scores_codex":[0.994781,0.002558891,0.0001427451,0.0008971553,0.0008746807,0.0007455187],"domain_scores_gemma":[0.9932016,0.003985543,0.0008065354,0.0004217297,0.001193391,0.0003913431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002519034,0.0002059618,0.05037384,0.0002766913,0.0004300299,0.0006166942,0.001505481,0.2612702,0.0006271762,0.6375668,0.005396856,0.04147845],"study_design_scores_gemma":[0.00004611204,0.00005836462,0.01761311,0.00004360046,0.0001204458,0.00007485301,0.001025234,0.8931231,0.0001618227,0.08155865,0.0060931,0.00008158854],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3318793,0.00170922,0.6258948,0.005795358,0.0001301342,0.00128332,0.007951631,0.0008503498,0.02450588],"genre_scores_gemma":[0.8937035,0.000977334,0.08520416,0.0002075231,0.00008799552,0.0006621745,0.001812475,0.00008774035,0.01725705],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1269788,"threshold_uncertainty_score":0.2554531,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W748793630","doi":"","title":"Air Traffic Management under Stress: The Performance of Air Navigation Providers in Canada, Britain, and the United States","year":2007,"lang":"en","type":"article","venue":"11th World Conference on Transport ResearchWorld Conference on Transport Research Society","topic":"Aviation Industry Analysis and Trends","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Restructuring; Aviation; Air traffic control; Context (archaeology); Revenue; Business; Position (finance); Economic policy; Government (linguistics); Air cargo; Finance; Engineering; Transport engineering","authors":[{"name":"John S. Strong","is_ca":false},{"name":"Clinton V. Oster","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07813583034618268,"gpt":0.2907892790389963,"spread":0.2126534486928136,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001115972,0.0002648828,0.0003502015,0.001435124,0.004666741,0.003482128,0.0009228864,0.001083933,0.002015717],"category_scores_gemma":[0.005187367,0.0001954891,0.0002171589,0.003960227,0.001840245,0.0009593857,0.001715277,0.001362192,0.0003203248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03244311,"about_ca_system_score_gemma":0.03132821,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9860579,"about_ca_topic_score_gemma":0.9919246,"domain_scores_codex":[0.997826,0.0002266434,0.00005427186,0.0001311285,0.0007088234,0.00105307],"domain_scores_gemma":[0.9933943,0.0003456082,0.0006045526,0.00006791139,0.002988288,0.002599383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004364295,0.0002468844,0.9239523,0.00008480877,0.00008601567,0.0005965503,0.03116752,0.001035657,0.0005656015,0.001353914,0.01318911,0.02728524],"study_design_scores_gemma":[0.00001199176,0.0000648874,0.9306597,0.00005783001,0.00002035497,0.00008475917,0.06217846,0.0005315826,0.0001110896,0.00007016469,0.006180278,0.00002879026],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932469,0.0003249784,0.00002420276,0.001436555,0.00002828022,0.00001512196,0.0004643167,0.000005950904,0.004453648],"genre_scores_gemma":[0.9973412,0.0004240591,0.00003331095,0.0002886719,0.00001327395,0.000006517151,0.0004697317,0.000005586576,0.001417544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03244311,"threshold_uncertainty_score":0.2353923,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}