{"id":"W6983180645","doi":"","title":"Logistiques Urbaines et Vehicules Autonomes","year":2022,"lang":"en","type":"article","venue":"","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Transports","funders":"","keywords":"Rail transportation; Rail traffic; Automatic vehicle location; Transport policy; Passenger transport","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005738586,0.0009010646,0.0004723109,0.00147254,0.001183654,0.00327551,0.000888283,0.001054694,0.01569158],"category_scores_gemma":[0.001772776,0.0004250995,0.0006041728,0.001833562,0.0008854741,0.00308994,0.001383685,0.0009952299,0.004278345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002037779,"about_ca_system_score_gemma":0.002113746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03356995,"about_ca_topic_score_gemma":0.03427274,"domain_scores_codex":[0.9988968,0.0001961432,0.00005116219,0.0002164298,0.0004992055,0.0001401748],"domain_scores_gemma":[0.9992403,0.0001594433,0.0001195779,0.00009508463,0.0003319755,0.00005364254],"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":[0.0004417121,0.0003082654,0.04459155,0.002013842,0.0001395751,0.00144255,0.003737883,0.06163557,0.04265177,0.3162425,0.02729572,0.4994991],"study_design_scores_gemma":[0.00002261134,0.0003359561,0.02667576,0.0006031205,0.00008510689,0.001031719,0.00494739,0.05107073,0.01851815,0.03474629,0.8617979,0.000165324],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3061457,0.02163028,0.3534854,0.007335981,0.001148437,0.0007335197,0.006038675,0.004061737,0.2994202],"genre_scores_gemma":[0.7694964,0.01382717,0.06346762,0.0004874426,0.0002171229,0.000408343,0.003960389,0.0004058626,0.1477297],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03356995,"threshold_uncertainty_score":0.06674916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09275811153781327,"score_gpt":0.3718509071739814,"score_spread":0.2790927956361682,"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."}}