{"id":"W2811502318","doi":"","title":"Talking on the Phone While Driving: The Effects of Divided Attention on Change Detection","year":2018,"lang":"en","type":"article","venue":"Western Undergraduate Psychology Journal","topic":"Behavioral Health and Interventions","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Change blindness; Inattentional blindness; Change detection; Gaze; Phone; Cognitive psychology; Psychology; Conversation; Eye movement; Task (project management); Stimulus (psychology); Computer science; Computer vision; Communication; Artificial intelligence; Engineering; Perception","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008908047,0.0002239126,0.0002313559,0.0002215043,0.0007245603,0.00005238638,0.000442749,0.0001838916,0.0002262082],"category_scores_gemma":[0.0000611019,0.000132435,0.0002529178,0.0003113761,0.000347913,0.0001426967,0.00004091358,0.0009158203,0.0007991262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006058841,"about_ca_system_score_gemma":0.00001156738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005273935,"about_ca_topic_score_gemma":0.0002532089,"domain_scores_codex":[0.9973058,0.001040067,0.0005427342,0.000325264,0.0002801207,0.0005060447],"domain_scores_gemma":[0.998225,0.0003544633,0.0005820512,0.0005852186,0.0001292917,0.0001239791],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002493813,0.005456244,0.2178782,0.00009945363,0.0009360294,0.0001645492,0.006638474,7.259371e-7,0.04278467,0.009779718,0.05241635,0.6613517],"study_design_scores_gemma":[0.001544262,0.004476805,0.9840807,0.0003977418,0.00008643272,0.0004277321,0.0001763891,0.000005150385,0.0009452862,0.0026595,0.005038323,0.0001617068],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9647424,0.0001534505,0.001561033,0.02091196,0.01011465,0.0005160537,0.000002924214,0.00004260256,0.001954972],"genre_scores_gemma":[0.9930528,0.00007235893,0.000008385238,0.004259971,0.001553819,0.0001146457,0.000002382152,0.00003601113,0.0008996722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7662024,"threshold_uncertainty_score":0.9999788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08972082171082159,"score_gpt":0.3927158552717988,"score_spread":0.3029950335609772,"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."}}