{"id":"W2024024434","doi":"10.1136/injuryprev-2012-040580c.46","title":"DO VISIBILITY AIDS REDUCE THE RISK OF MOTOR-VEHICLE INJURY IN BICYCLISTS?","year":2012,"lang":"en","type":"article","venue":"Injury Prevention","topic":"Traffic and Road Safety","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Calgary","funders":"","keywords":"Visibility; Medicine; Poison control; Odds ratio; Collision; Logistic regression; Confounding; Injury prevention; Odds; Medical emergency; Computer security; Geography; Computer science; Internal medicine; Meteorology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001198115,0.0003243496,0.0004661401,0.0007704899,0.0002727021,0.0008531847,0.0005802537,0.0009028023,0.001791704],"category_scores_gemma":[0.0105935,0.0002533896,0.0008204319,0.0007341107,0.000459235,0.0004065708,0.0004079677,0.0004562452,0.0002108997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004936083,"about_ca_system_score_gemma":0.0006848667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01495733,"about_ca_topic_score_gemma":0.01960802,"domain_scores_codex":[0.9989784,0.0003528675,0.0001064361,0.0001089143,0.0002713917,0.0001820226],"domain_scores_gemma":[0.9949782,0.001860886,0.002285195,0.0001110374,0.0004539753,0.0003106958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001624843,0.0005662262,0.9424496,0.001560734,0.001036965,0.0001357245,0.0002113199,0.0002232222,0.0002478065,0.00008503252,0.0004889666,0.05136961],"study_design_scores_gemma":[0.00009087755,0.001188434,0.9949757,0.0006799264,0.0008156161,0.0002955974,0.0003215544,0.0002177782,0.0001582136,0.0001467791,0.001100808,0.00000869375],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9362792,0.05833901,0.0003006104,0.001508073,0.00007747412,0.00006863414,0.0002363973,0.00001424495,0.003176448],"genre_scores_gemma":[0.9877336,0.01136129,0.000298616,0.000176385,0.0001091235,0.00001486968,0.0000982005,0.000002329069,0.0002055439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01495733,"threshold_uncertainty_score":0.02974057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01084173349677728,"score_gpt":0.2711662229642444,"score_spread":0.2603244894674671,"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."}}