{"id":"W2985107336","doi":"10.2196/16154","title":"Quality and Accuracy of Information Available on Websites for Distracted Driving: Qualitative Analysis","year":2019,"lang":"en","type":"article","venue":"Interactive Journal of Medical Research","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; McMaster University","funders":"","keywords":"Distracted driving; Distraction; Government (linguistics); Quality (philosophy); The Internet; Statistic; Social media; Internet privacy; Advertising; Applied psychology; Computer security; Psychology; Business; Computer science; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01012345,0.0001015861,0.0004637067,0.001078936,0.00007181246,0.00007109153,0.0003255195,0.0001524099,0.03270103],"category_scores_gemma":[0.02190566,0.00007679698,0.0002272124,0.0005238925,0.00016137,0.0007910964,0.00005821819,0.00104114,0.0005462241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001352605,"about_ca_system_score_gemma":0.0002107967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001456035,"about_ca_topic_score_gemma":0.00002820813,"domain_scores_codex":[0.9950631,0.00159439,0.001178768,0.0001456965,0.00178605,0.0002320532],"domain_scores_gemma":[0.9750293,0.02132838,0.001009115,0.0002037633,0.002193287,0.0002360821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.03255505,0.005321794,0.06506473,0.0008711679,0.01679746,0.00004755767,0.2936694,0.00008669138,0.006717101,0.1128872,0.2770256,0.1889563],"study_design_scores_gemma":[0.008308673,0.004633418,0.6020179,0.00101213,0.0002182341,0.00006596283,0.1567345,0.005497818,0.00265553,0.003624605,0.2148076,0.000423497],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9652709,0.00003614013,0.006020029,0.004608939,0.0005096523,0.0003146755,0.00004628731,0.000008199173,0.02318522],"genre_scores_gemma":[0.9978919,0.00003526486,0.0001556073,0.0001777799,0.00008106027,0.00001307124,0.00001974419,0.000006148199,0.001619413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5369532,"threshold_uncertainty_score":0.9863333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1637954040270196,"score_gpt":0.5976727816023862,"score_spread":0.4338773775753667,"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."}}