{"id":"W1191819692","doi":"10.71781/570","title":"Potentiel d’une approche populationnelle orientée vers la reconfiguration des environnements urbains pour améliorer la sécurité des piétons","year":2010,"lang":"fr","type":"dissertation","venue":"Open MIND","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Control reconfiguration; Political science; Physics; Computer science; Art; Embedded system","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":[0.005454772,0.0007856423,0.000660999,0.001246086,0.001045395,0.00235287,0.001233272,0.0008659686,0.01738383],"category_scores_gemma":[0.01211235,0.0002909883,0.001191307,0.001434153,0.0009695852,0.001507243,0.001849536,0.0006919047,0.00153504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003214713,"about_ca_system_score_gemma":0.005847779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02161787,"about_ca_topic_score_gemma":0.03465951,"domain_scores_codex":[0.9949091,0.003274582,0.0002251105,0.000566826,0.0006815175,0.0003428941],"domain_scores_gemma":[0.9950714,0.002217369,0.0008066421,0.000381675,0.001309518,0.0002134921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001649534,0.001139489,0.1498322,0.01375689,0.001248533,0.0006119213,0.02348964,0.02442367,0.01371685,0.05178486,0.01382159,0.7045248],"study_design_scores_gemma":[0.0006515459,0.008069694,0.3956815,0.01757213,0.003712858,0.0008383995,0.08887984,0.02768844,0.01856271,0.03985642,0.3980348,0.0004516391],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7035676,0.009515955,0.1287072,0.006314921,0.0007262421,0.004936111,0.004331934,0.0008210572,0.1410789],"genre_scores_gemma":[0.8954548,0.004303669,0.08174645,0.0006398574,0.00007011653,0.003055341,0.0007505977,0.00008587613,0.01389325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02161787,"threshold_uncertainty_score":0.05815464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04745018415369705,"score_gpt":0.3007479887120904,"score_spread":0.2532978045583933,"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."}}