{"id":"W3175200449","doi":"10.61797/ijbfit.v1i1.122","title":"Road safety for fleets of vehicles","year":2021,"lang":"en","type":"preprint","venue":"International Journal of Banking Finance and Insurance Technologies","topic":"Traffic and Road Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Truck; Transport engineering; Business; Automobile insurance; Fleet management; Actuarial science; Engineering; Automotive engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0007883958,0.0002603748,0.0001956544,0.001912725,0.0002548691,0.0005718902,0.0004514967,0.000364424,0.003747702],"category_scores_gemma":[0.006494937,0.000152654,0.0005319587,0.001518039,0.0002384485,0.001076515,0.0005403728,0.0007709504,0.0005653948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008180205,"about_ca_system_score_gemma":0.0005345828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01654106,"about_ca_topic_score_gemma":0.01359427,"domain_scores_codex":[0.9991561,0.000139405,0.00006333469,0.0001982886,0.0003169055,0.0001258924],"domain_scores_gemma":[0.9956309,0.00108936,0.001998212,0.0004787857,0.0005790421,0.0002236581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002610921,0.00010362,0.747896,0.000427799,0.0005328814,0.0003918081,0.0005117462,0.06775106,0.001098703,0.03489022,0.01770907,0.128426],"study_design_scores_gemma":[0.00001107593,0.0003186726,0.9127871,0.0001217809,0.00006578634,0.0003390939,0.0004415071,0.0373785,0.0009790313,0.01339874,0.03411871,0.00004015314],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9044129,0.00300136,0.0264832,0.0008381855,0.0001378844,0.00009342438,0.03955231,0.0001406363,0.02534017],"genre_scores_gemma":[0.9778072,0.0006846303,0.001035521,0.00002812689,0.00003944042,0.00003077698,0.01725371,0.000009405123,0.00311134],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01654106,"threshold_uncertainty_score":0.03288954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0104878390085344,"score_gpt":0.2377930555511538,"score_spread":0.2273052165426195,"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."}}