{"id":"W602543054","doi":"","title":"Crash Prediction Modeling Down Under: Some Key Findings","year":2009,"lang":"en","type":"article","venue":"Transportation Research Board 88th Annual MeetingTransportation Research Board","topic":"Traffic and Road Safety","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Crash; Visibility; Key (lock); Transport engineering; Computer science; Engineering; Forensic engineering; Risk analysis (engineering); Computer security; Business; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.004630695,0.0006297647,0.0006607383,0.001838,0.001324487,0.0002702652,0.0008658182,0.0006438521,0.0002984268],"category_scores_gemma":[0.000138408,0.0006637718,0.000337528,0.00257596,0.0004467766,0.001805779,0.000009813964,0.003027011,0.0002898412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004568341,"about_ca_system_score_gemma":0.000376634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001018552,"about_ca_topic_score_gemma":0.001931413,"domain_scores_codex":[0.9894848,0.0005132369,0.001596975,0.001206759,0.004654596,0.002543605],"domain_scores_gemma":[0.9955397,0.000496122,0.00007740084,0.0007236175,0.002155729,0.001007477],"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":[0.0008869212,0.000494328,0.01297973,0.0006244386,0.0002353896,0.0001992713,0.01303474,0.9113967,0.009157977,0.02665645,0.01544579,0.008888278],"study_design_scores_gemma":[0.004963602,0.001669576,0.7948596,0.0008624772,0.0001290846,0.000003029181,0.01425452,0.1464968,0.004180524,0.01448889,0.01621571,0.001876187],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9774985,0.0006282502,0.01173452,0.002273688,0.0004654849,0.001744169,0.0006733859,0.001820218,0.003161815],"genre_scores_gemma":[0.9939305,0.001810153,0.001718895,0.0001294272,0.000506226,0.0002367726,0.0009394888,0.0001544293,0.0005741304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7818799,"threshold_uncertainty_score":0.9999757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0384686497223236,"score_gpt":0.3222159505151309,"score_spread":0.2837473007928073,"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."}}