{"id":"W835642171","doi":"","title":"New Approaches to Improving Safety Canada","year":2007,"lang":"en","type":"article","venue":"23RD PIARC WORLD ROAD CONGRESS PARIS, 17-21 SEPTEMBER 2007","topic":"Transportation Safety and Impact Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transport engineering; Collision; Engineering; Geography; Forensic engineering; Computer science; Computer security","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":[0.009710672,0.001159778,0.0005207456,0.005364644,0.01146991,0.00741673,0.004767627,0.003852156,0.03174992],"category_scores_gemma":[0.01672157,0.0004595656,0.001130937,0.005035461,0.005512523,0.004937589,0.006757543,0.00526563,0.003530539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05485269,"about_ca_system_score_gemma":0.2736503,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9282926,"about_ca_topic_score_gemma":0.9465436,"domain_scores_codex":[0.9854099,0.002387309,0.0003885755,0.001362519,0.008038301,0.002413375],"domain_scores_gemma":[0.9821942,0.001237953,0.0004245634,0.001154328,0.01192917,0.003059802],"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":[0.00006167378,0.000357217,0.005465753,0.000478073,0.00006253207,0.0002019819,0.003605016,0.002411608,0.0009815545,0.2962558,0.3986899,0.2914289],"study_design_scores_gemma":[0.0000461283,0.00007337538,0.006490193,0.000418847,0.00005490701,0.0001025386,0.003648696,0.001537651,0.0006708288,0.0303435,0.9565504,0.00006289659],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0117999,0.01272076,0.04430623,0.4401864,0.006156893,0.0009709991,0.002024336,0.001547988,0.4802865],"genre_scores_gemma":[0.2941394,0.03020174,0.1496665,0.1362221,0.002879967,0.001444799,0.003082842,0.000636332,0.3817263],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07170743,"threshold_uncertainty_score":0.3979859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02215693488082323,"score_gpt":0.218838875748198,"score_spread":0.1966819408673748,"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."}}