{"id":"W2801927800","doi":"10.5539/mas.v12n5p1","title":"Relative Crash Involvement Ratio Associated with Different Sources of Young Drivers’ Distraction","year":2018,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Traffic and Road Safety","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Crash; Distraction; Distracted driving; Demographics; Psychology; Demography; Statistical significance; Poison control; Phone; Injury prevention; Microsoft excel; Statistical analysis; Human factors and ergonomics; Applied psychology; Computer science; Medicine; Statistics; Environmental health; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0008687227,0.000349968,0.0004106385,0.001406877,0.0002323729,0.000654803,0.0003287629,0.0003702431,0.003538641],"category_scores_gemma":[0.004673289,0.0002179044,0.0009769505,0.0005528837,0.0001771171,0.0004148404,0.0007644938,0.0004821729,0.0004327736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002779022,"about_ca_system_score_gemma":0.0002830394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002487261,"about_ca_topic_score_gemma":0.002520689,"domain_scores_codex":[0.9988824,0.0002594496,0.0001612728,0.0002518785,0.0002971973,0.0001478766],"domain_scores_gemma":[0.9961901,0.001332528,0.001398373,0.0001910576,0.0005665943,0.0003214263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001908295,0.00005636751,0.9930761,0.0000675353,0.0001230576,0.0001832615,0.0002219994,0.0001629952,0.0004340366,0.00006174645,0.0001121041,0.005309974],"study_design_scores_gemma":[0.000002119025,0.0001787275,0.9976814,0.00001624175,0.00009013565,0.0005324947,0.0004703687,0.0004219168,0.0002821671,0.00004870761,0.0002662788,0.000009404181],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973016,0.0005691824,0.0006692514,0.00003065213,0.00001449764,0.00002279077,0.0005138463,0.00001565193,0.0008625794],"genre_scores_gemma":[0.9986109,0.0002052622,0.0002144792,0.000008444034,0.0000106136,0.00002498978,0.0005815414,0.000003521105,0.0003402081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003538641,"threshold_uncertainty_score":0.0118379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01051946882287329,"score_gpt":0.1969900520312379,"score_spread":0.1864705832083646,"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."}}