{"id":"W7161518951","doi":"","title":"Évaluation du potentiel de risque routier aux intersections sélectionnées de Montréal : une approche basée sur l'analyse multicritère","year":2025,"lang":"","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Wildlife-Road Interactions and Conservation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Risk factor; Statistical analysis; MEDLINE; Poison control","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":[0.00260106,0.002134052,0.001556538,0.003139788,0.001047882,0.003275393,0.002314864,0.001100124,0.004725502],"category_scores_gemma":[0.005833431,0.0006689169,0.002074617,0.00243483,0.0005802836,0.0008841311,0.0009795714,0.0006846706,0.0006148026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006620292,"about_ca_system_score_gemma":0.005763172,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.726221,"about_ca_topic_score_gemma":0.7739361,"domain_scores_codex":[0.997971,0.0005701593,0.00006279816,0.0006483255,0.0005388202,0.0002088272],"domain_scores_gemma":[0.9971935,0.001217735,0.0001849891,0.0001543903,0.001172115,0.00007729818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0009682149,0.0003896856,0.1910757,0.0008321769,0.002868479,0.0004698715,0.0008504599,0.5030193,0.01465782,0.003926738,0.003686239,0.2772552],"study_design_scores_gemma":[0.0001622916,0.0005277485,0.2549127,0.0001979901,0.001315705,0.000193002,0.001134828,0.7226664,0.008418298,0.001950781,0.008341849,0.0001783037],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6473785,0.003340373,0.3256064,0.001103491,0.0001258439,0.0008253601,0.005340144,0.002014784,0.0142651],"genre_scores_gemma":[0.8866459,0.0008428738,0.1002838,0.0001794084,0.00003227407,0.0003427452,0.00180688,0.0001335449,0.009732635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.273779,"threshold_uncertainty_score":0.5507827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02491116622648229,"score_gpt":0.2361397891811718,"score_spread":0.2112286229546895,"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."}}