{"id":"W1997828418","doi":"10.1139/l02-039","title":"Efficacité du pré-signalement d'arrêt scolaire avec feux jaunes et avec feux de détresse","year":2002,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Safety Warnings and Signage","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Visibility; Flashing; Transport engineering; Meteorology; Environmental science; Geography; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.000461785,0.0004221192,0.0001967788,0.000363435,0.0001942489,0.0003097508,0.000305028,0.0004257273,0.002505879],"category_scores_gemma":[0.001572005,0.0001132311,0.0003031109,0.0001022174,0.0002208793,0.0002288254,0.0002342205,0.0002827022,0.0002417819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002494222,"about_ca_system_score_gemma":0.0001965118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00576194,"about_ca_topic_score_gemma":0.006816094,"domain_scores_codex":[0.9996347,0.0001371336,0.00002072402,0.00004649566,0.0001092808,0.00005159215],"domain_scores_gemma":[0.9991849,0.0003875675,0.0001285616,0.00003950169,0.0001598222,0.00009964193],"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":[0.02109329,0.007526757,0.1441104,0.001438646,0.0005506895,0.0007239568,0.00149591,0.007365664,0.380771,0.0004549331,0.001137619,0.4333311],"study_design_scores_gemma":[0.0006272489,0.1534521,0.5233499,0.0002304383,0.0006718173,0.001539515,0.001597281,0.01817806,0.2895133,0.0001633013,0.01055016,0.0001269498],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997962,0.0003406103,0.0005386186,0.00002098195,0.000009892644,0.00002044809,0.0000189587,0.00002349547,0.001064996],"genre_scores_gemma":[0.9968176,0.0002573655,0.0008064129,0.00001564652,0.000009740247,0.00001163203,0.00005718899,0.000006962475,0.002017431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00576194,"threshold_uncertainty_score":0.01145685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01219981239350955,"score_gpt":0.2154548287520039,"score_spread":0.2032550163584944,"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."}}