{"id":"W6986276700","doi":"","title":"Optimizing Machine Learning Techniques to Better Understand Sustainability in Transportation Planning","year":2023,"lang":"fr","type":"other","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds de recherche du Québec – Nature et technologies; Social Sciences and Humanities Research Council of Canada","keywords":"Sustainability; Agrégation","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001731746,0.0009857805,0.0007748307,0.001004124,0.0003451048,0.001168597,0.0008440543,0.0012214,0.002606943],"category_scores_gemma":[0.00516857,0.0004959537,0.0007476991,0.00119934,0.0005023077,0.0012919,0.0007040328,0.001108979,0.0003747858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001486229,"about_ca_system_score_gemma":0.001434681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01218798,"about_ca_topic_score_gemma":0.008272004,"domain_scores_codex":[0.9994454,0.0002778046,0.00003746662,0.00009353563,0.00009428417,0.00005157819],"domain_scores_gemma":[0.9980783,0.00136063,0.0001754469,0.00008475727,0.0002628452,0.00003795495],"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":[0.00001164889,0.00001525081,0.0006770429,0.0000334234,0.00002088941,0.00001048695,0.00001214368,0.9797626,0.0001727871,0.001621432,0.0002746986,0.01738754],"study_design_scores_gemma":[0.000001675427,0.000006618479,0.0001421226,0.000006441492,0.000003356936,0.000002649962,0.000004659617,0.9976909,0.0001280092,0.00178564,0.000226539,0.000001304286],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09351453,0.00146134,0.8960973,0.001238802,0.00008241735,0.0001070859,0.0003945758,0.0007899406,0.00631401],"genre_scores_gemma":[0.7551924,0.0008028905,0.2376453,0.000238595,0.00008747435,0.000267598,0.0006632437,0.0001764656,0.004925956],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01218798,"threshold_uncertainty_score":0.02423412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01367812728768072,"score_gpt":0.258168230441021,"score_spread":0.2444901031533403,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}