{"id":"W651002158","doi":"","title":"Utilisation des donnees sur le deplacements domicile-travail, suivi et caracterisation des navatteurs: une perspective sur 20 ans","year":2004,"lang":"fr","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Geography; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.008881436,0.0004142261,0.0005487527,0.006258706,0.002129475,0.002632757,0.0009829272,0.0004601063,0.003004656],"category_scores_gemma":[0.01751729,0.0002562335,0.0005684093,0.01098821,0.000920975,0.00115722,0.001189854,0.0006060165,0.0006166985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009016202,"about_ca_system_score_gemma":0.01848459,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9109802,"about_ca_topic_score_gemma":0.9287273,"domain_scores_codex":[0.9944577,0.001195357,0.000635613,0.0006059581,0.002434377,0.0006709461],"domain_scores_gemma":[0.975136,0.008284643,0.002320945,0.0006532423,0.01256336,0.001041741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001349776,0.00004259039,0.8409279,0.0006003484,0.0001284376,0.0003298116,0.03625009,0.0004985818,0.001652714,0.0009626437,0.004083467,0.1143885],"study_design_scores_gemma":[0.000003920135,0.00006584393,0.9409285,0.0004162828,0.00005995558,0.000166559,0.02039851,0.0002868702,0.0007989078,0.0001576487,0.03666796,0.00004897521],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9274382,0.01119707,0.004015883,0.002818364,0.0001364817,0.0002007544,0.03119642,0.0001370027,0.02285979],"genre_scores_gemma":[0.9402611,0.01344536,0.008478218,0.0008173037,0.00007307035,0.000285303,0.01728131,0.00007877254,0.01927941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9109802,"threshold_uncertainty_score":0.1790881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04489092275829445,"score_gpt":0.3018157073253868,"score_spread":0.2569247845670923,"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."}}