{"id":"W2188840939","doi":"10.1016/j.aap.2015.11.016","title":"Modernization of the Driver Behaviour Questionnaire","year":2015,"lang":"en","type":"article","venue":"Accident Analysis & Prevention","topic":"Traffic and Road Safety","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Alberta Motor Association Foundation for Traffic Safety","keywords":"Distraction; Poison control; Human factors and ergonomics; Sample (material); Injury prevention; Exploratory factor analysis; Applied psychology; Occupational safety and health; Psychology; Suicide prevention; Scale (ratio); Engineering; Computer security; Clinical psychology; Social psychology; Psychometrics; Computer science; Medicine; Environmental health; Cognitive psychology; Geography","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":[0.005548988,0.0002860711,0.0003749352,0.001662039,0.0003897294,0.000693161,0.0005459845,0.0003904631,0.004474663],"category_scores_gemma":[0.01417756,0.0002862787,0.0007113391,0.0007226735,0.0002504925,0.0006018801,0.001319603,0.001152398,0.001010234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008147932,"about_ca_system_score_gemma":0.001642809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003453934,"about_ca_topic_score_gemma":0.005554527,"domain_scores_codex":[0.9954212,0.001759534,0.0006316221,0.0005284662,0.001347262,0.0003117612],"domain_scores_gemma":[0.9881989,0.004220182,0.001044517,0.001178194,0.004869062,0.00048914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000967949,0.001897771,0.6065338,0.0003800673,0.0002244773,0.0001034369,0.004260331,0.001166477,0.0124904,0.002458649,0.01284328,0.3566733],"study_design_scores_gemma":[0.00005931482,0.000918431,0.9767413,0.00005941831,0.000052788,0.0001252335,0.0006557092,0.001984795,0.001968999,0.0004859447,0.01690179,0.00004636152],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9318431,0.0004390338,0.03963331,0.0009262845,0.0004480031,0.004236849,0.007233048,0.0006076292,0.01463267],"genre_scores_gemma":[0.9296011,0.0004155197,0.04766368,0.0004105885,0.0001561003,0.004972063,0.007257367,0.0001517858,0.009371636],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.005548988,"threshold_uncertainty_score":0.02934617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01132360854286136,"score_gpt":0.2316121652912577,"score_spread":0.2202885567483964,"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."}}