{"id":"W7048986198","doi":"","title":"Mesure de la cohabitation cycliste-piéton dans les rues piétonnes par analyse vidéo","year":2023,"lang":"fr","type":"other","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Lightning and Electromagnetic Phenomena","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Corsican; Context (archaeology); Cohabitation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002889572,0.0006131688,0.0002336532,0.002234915,0.0008868513,0.001256312,0.0005087277,0.0005707039,0.01606287],"category_scores_gemma":[0.001145673,0.0001914797,0.0003117973,0.001920772,0.0003313645,0.0004231917,0.0005782072,0.0005715137,0.001864103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001291338,"about_ca_system_score_gemma":0.001188108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3741041,"about_ca_topic_score_gemma":0.556306,"domain_scores_codex":[0.9997466,0.00002966664,0.000006305619,0.00005502506,0.00009675977,0.00006564405],"domain_scores_gemma":[0.9992385,0.0001546725,0.00006370278,0.00002025017,0.000441335,0.000081577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001096347,0.0003687006,0.4910847,0.001418567,0.000288722,0.006915916,0.03592122,0.008756635,0.0724529,0.002784309,0.0347633,0.3441486],"study_design_scores_gemma":[0.00001538976,0.0001852172,0.9270408,0.0003636319,0.00008362169,0.0005924739,0.02458485,0.009016835,0.005565706,0.0002190125,0.03224367,0.00008887054],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9456856,0.0007040064,0.008835061,0.0005921756,0.0001432595,0.0002491775,0.01156383,0.0006497614,0.03157703],"genre_scores_gemma":[0.9505425,0.0008066698,0.01269173,0.0001194619,0.00004667749,0.0001931031,0.005154041,0.0001321649,0.03031367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3741041,"threshold_uncertainty_score":0.7438531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00603439416530237,"score_gpt":0.2305646004752029,"score_spread":0.2245302063099005,"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."}}