{"id":"W1570399054","doi":"10.3917/flux.062.0047","title":"Comment objectiver et enrichir les choix de politiques de transports ?","year":2005,"lang":"fr","type":"article","venue":"Flux","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministère des Transports","funders":"","keywords":"Political science; Humanities; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006219606,0.0001768448,0.0002327853,0.00003203309,0.0006421816,0.00005290785,0.0001778476,0.0002034245,0.001583045],"category_scores_gemma":[0.00007683774,0.0001905884,0.0001622136,0.0001778584,0.0006057867,0.0002007108,0.00002654804,0.0002598349,0.0001185037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001352078,"about_ca_system_score_gemma":0.0003037147,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08906174,"about_ca_topic_score_gemma":0.07173852,"domain_scores_codex":[0.9982539,0.0003899751,0.0001944747,0.0002063946,0.0002577604,0.0006975119],"domain_scores_gemma":[0.9993921,0.0001760501,0.00006161055,0.00009492548,0.00006771283,0.0002076283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005320337,0.0002501579,0.01271703,0.00002227741,0.00008356724,0.00001271732,0.1797822,0.00002029093,0.00001541052,0.5309917,0.2534026,0.02269681],"study_design_scores_gemma":[0.0001900502,0.0000476,0.05540159,0.00004561236,0.00004456389,0.000001162765,0.006130076,0.00002769262,0.0001313146,0.01441449,0.9233643,0.0002015093],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1377148,0.06255542,0.001218104,0.2215716,0.001258372,0.0003502399,0.000100206,0.0001908403,0.5750404],"genre_scores_gemma":[0.9073877,0.005640345,0.001907545,0.009706981,0.002100543,0.00002699297,0.000008105379,0.00001939433,0.07320234],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7696729,"threshold_uncertainty_score":0.9993296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04474772930253906,"score_gpt":0.3084407805731952,"score_spread":0.2636930512706562,"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."}}