{"id":"W7024144067","doi":"","title":"Proximité et transport actif : le cas des déplacements entre l’école et la maison","year":2015,"lang":"fr","type":"article","venue":"OpenEdition (OpenEdition)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Context (archaeology); Work (physics); Product (mathematics); Order (exchange); Perspective (graphical)","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":[0.003402959,0.0006133739,0.0006812091,0.003481352,0.002718975,0.006375624,0.001275089,0.002080549,0.01419634],"category_scores_gemma":[0.01636815,0.0004153985,0.0009552694,0.005549588,0.003495633,0.00436132,0.003062643,0.002622283,0.0006014835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003862351,"about_ca_system_score_gemma":0.002695674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0763329,"about_ca_topic_score_gemma":0.05962826,"domain_scores_codex":[0.9976908,0.0008139508,0.0001628795,0.0003443661,0.0005009425,0.0004871591],"domain_scores_gemma":[0.9826617,0.01013514,0.003296406,0.0008162754,0.001532338,0.001558057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001207592,0.000377907,0.7564913,0.0003161693,0.0002954817,0.00815659,0.01533026,0.004428062,0.001335104,0.1610161,0.002921252,0.04812421],"study_design_scores_gemma":[0.0000867478,0.0003758267,0.8238881,0.0003587842,0.0003760018,0.00895323,0.03854848,0.02262865,0.002631873,0.06362795,0.03832425,0.0002001524],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9593943,0.00174536,0.004758941,0.006398371,0.0001468544,0.00002192918,0.0004350201,0.00004240684,0.02705688],"genre_scores_gemma":[0.9944445,0.0004079186,0.0009378535,0.00006500948,0.00007115979,0.000012737,0.00009658858,0.00001707018,0.003947172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0763329,"threshold_uncertainty_score":0.1517772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04380568488609531,"score_gpt":0.3219099355757984,"score_spread":0.2781042506897031,"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."}}