{"id":"W6926925935","doi":"10.25384/sage.c.7189027.v1","title":"Lessons learnt from roadside collisions: A Canadian police perspective","year":2024,"lang":"en","type":"other","venue":"Sage Journals Data","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Collision; Officer; Perspective (graphical); Training (meteorology); Work (physics)","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008963598,0.0003430855,0.000893951,0.001072014,0.00009301914,0.0001141222,0.0008656213,0.0005652236,0.04472021],"category_scores_gemma":[0.002315274,0.000266906,0.0001663446,0.000387939,0.0001295828,0.00008915592,0.0004952989,0.001975156,0.005575956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000643526,"about_ca_system_score_gemma":0.002002664,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9471508,"about_ca_topic_score_gemma":0.8957738,"domain_scores_codex":[0.9970978,0.0003323949,0.000402099,0.000873992,0.0004644201,0.0008292828],"domain_scores_gemma":[0.9960099,0.0002375989,0.0001594581,0.002023524,0.00009476643,0.001474744],"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":[0.00002211023,0.00004077906,0.0004170483,0.00002570297,0.001095033,0.0009704496,0.0002302315,4.323533e-7,0.00004912326,0.00003778489,0.9919806,0.005130711],"study_design_scores_gemma":[0.0004018256,0.0000751051,0.001583211,0.005499653,0.0003935857,0.0002776696,0.00167729,0.0001098224,0.000002984571,0.0007859799,0.9889528,0.0002400567],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00004053743,0.3049741,0.00003822182,0.09425716,0.0005282303,0.0005415854,0.02652095,0.0001123879,0.5729868],"genre_scores_gemma":[0.001231343,0.1802428,0.001191548,0.005455402,0.005514483,0.00002727717,0.002180103,0.0007889768,0.8033681],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2303813,"threshold_uncertainty_score":0.9999783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1233120826224204,"score_gpt":0.4433720977394892,"score_spread":0.3200600151170688,"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."}}