{"id":"W2376351658","doi":"10.14288/1.0063261","title":"Community-based, macro-level collision prediction models","year":2010,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Macro; Collision; 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":[0.001402064,0.0007109122,0.001017616,0.001207618,0.0007671352,0.001613829,0.00450299,0.001657353,0.006201627],"category_scores_gemma":[0.006001615,0.0005653956,0.0009401189,0.001628332,0.0009091881,0.002139095,0.001835265,0.001901902,0.001129935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001562117,"about_ca_system_score_gemma":0.001824521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04952165,"about_ca_topic_score_gemma":0.03492902,"domain_scores_codex":[0.9993165,0.0001765639,0.00003228474,0.000213457,0.0001220988,0.0001391303],"domain_scores_gemma":[0.996918,0.0016852,0.0003926597,0.0001747284,0.0006326496,0.0001968099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003717208,0.00004999727,0.004180366,0.00003569694,0.00003197055,0.00005889517,0.00007053927,0.9719792,0.000123618,0.01329209,0.001820231,0.008320309],"study_design_scores_gemma":[0.000003344174,0.000006046399,0.0002066772,0.000003507901,0.000003672499,0.00000526745,0.00001283178,0.9966933,0.00001543638,0.002835046,0.0002119379,0.0000030031],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2555304,0.001281466,0.7141916,0.002554952,0.0003481699,0.0003369995,0.005012425,0.001311944,0.01943207],"genre_scores_gemma":[0.9349497,0.0006352486,0.05205064,0.0002125099,0.0001244738,0.0003331583,0.001901876,0.00008025636,0.009712095],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04952165,"threshold_uncertainty_score":0.09846681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02625455214898889,"score_gpt":0.2212102180888989,"score_spread":0.19495566593991,"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."}}