{"id":"W3213529619","doi":"10.1177/1071181321651268","title":"Young Driver Emotions Relate To Their Intention To Engage In Cellphone Distraction","year":2021,"lang":"en","type":"article","venue":"Proceedings of the Human Factors and Ergonomics Society Annual Meeting","topic":"Behavioral Health and Interventions","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Distraction; Psychology; Anticipation (artificial intelligence); Distracted driving; Young adult; Leverage (statistics); Social psychology; Developmental psychology; Cognitive psychology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000440966,0.0001325175,0.0001356827,0.0003553503,0.0002290832,0.0006814221,0.0001118605,0.0002771869,0.0024335],"category_scores_gemma":[0.003292765,0.0001635879,0.0002341349,0.0001355927,0.000180425,0.0002573406,0.0003019074,0.0003453357,0.0003534219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001943892,"about_ca_system_score_gemma":0.0002517579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003902379,"about_ca_topic_score_gemma":0.007205257,"domain_scores_codex":[0.9998312,0.00002773128,0.00001809827,0.00002542259,0.00005547264,0.00004211853],"domain_scores_gemma":[0.9973497,0.0007392989,0.0009878031,0.00006498802,0.0004285493,0.0004297612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004624406,0.00007701763,0.9950262,0.0000140198,0.00001062923,0.00006729409,0.001390148,0.00001032231,0.0005499918,0.00001267828,0.0000499611,0.00274558],"study_design_scores_gemma":[0.000001310862,0.00007920412,0.9977131,0.000005035613,0.000009791868,0.00007265442,0.001742369,0.00004412091,0.0001474014,0.00001053941,0.0001717529,0.000002685296],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996012,0.00003560684,0.00003204804,0.00001016109,0.000002013517,0.000003628145,0.00001993249,7.438243e-7,0.000294717],"genre_scores_gemma":[0.9995334,0.00005271291,0.00004430025,0.0000106664,0.000001893453,0.000005139925,0.00003517717,6.500235e-7,0.0003159639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003902379,"threshold_uncertainty_score":0.008140922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03704991096953574,"score_gpt":0.3107737622860095,"score_spread":0.2737238513164738,"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."}}