{"id":"W6969268767","doi":"10.5683/sp3/32va1p","title":"Données pour l'article intitulé \"Dangerous overtaking of cyclists in Montréal\"","year":2023,"lang":"fr","type":"dataset","venue":"Borealis","topic":"Engineering and Material Science Research","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Overtaking; Work (physics); Set (abstract data type); Limiting","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":[0.0006971164,0.003316554,0.001361192,0.004567842,0.001649584,0.002048959,0.002920008,0.002447543,0.037972],"category_scores_gemma":[0.0045381,0.0007067614,0.002132947,0.007727812,0.0006425214,0.0008371175,0.001564938,0.001674257,0.03049152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005246668,"about_ca_system_score_gemma":0.009403354,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8096887,"about_ca_topic_score_gemma":0.9180279,"domain_scores_codex":[0.9988636,0.0001128648,0.00007334141,0.0002779409,0.0003706053,0.0003017296],"domain_scores_gemma":[0.9981962,0.0003522534,0.0001069026,0.0002680833,0.0008057212,0.0002709277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001098985,0.00004322141,0.003755699,0.00057691,0.0001086056,0.00008442118,0.00009900578,0.0008249325,0.0003142669,0.0002571627,0.9874932,0.006332776],"study_design_scores_gemma":[0.0002983937,0.00004110854,0.07838134,0.000475949,0.0001832051,0.0001273525,0.0005069968,0.001942814,0.0009701473,0.0007501445,0.9162037,0.0001188668],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001315624,0.0003870832,0.0001249119,0.0001424842,0.00005949784,0.00002360741,0.9962419,0.0004418714,0.001262982],"genre_scores_gemma":[0.00230892,0.0001954301,0.0003353646,0.000050889,0.00001523451,0.00007159649,0.994659,0.00005547055,0.002308133],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1903113,"threshold_uncertainty_score":0.3828642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03100203815292589,"score_gpt":0.2920937420736936,"score_spread":0.2610917039207677,"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."}}