{"id":"W4309941077","doi":"10.1177/00187208221141175","title":"What’s that on Your Phone? Effects of Mobile Device Task Type on Pedestrian Performance","year":2022,"lang":"en","type":"article","venue":"Human Factors The Journal of the Human Factors and Ergonomics Society","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; HEC Montréal","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Human multitasking; Pedestrian; Task (project management); Phone; Mobile device; Computer science; Mobile phone; Human–computer interaction; Multimedia; Distraction; Cognitive psychology; Psychology; Engineering; Transport engineering; World Wide Web","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":[0.001133883,0.0003869975,0.0004242187,0.0003079741,0.0004158992,0.001212773,0.0003357481,0.0007274543,0.004845699],"category_scores_gemma":[0.01232942,0.0001605525,0.0006193647,0.0001915863,0.0002881539,0.0005698394,0.0005094621,0.0003806781,0.001013811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002321433,"about_ca_system_score_gemma":0.0003152905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002244053,"about_ca_topic_score_gemma":0.003483088,"domain_scores_codex":[0.999171,0.0003017229,0.00009335242,0.0001312022,0.0001741344,0.0001285709],"domain_scores_gemma":[0.9907625,0.005510157,0.001482621,0.0003272453,0.0008287992,0.001088716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01915257,0.00544369,0.7688968,0.001816013,0.0007672686,0.000927927,0.007202439,0.002037237,0.03100152,0.0002451225,0.004404707,0.1581048],"study_design_scores_gemma":[0.0002093461,0.01126793,0.9727165,0.0003333991,0.0004045535,0.0003717859,0.006609625,0.001580659,0.002958186,0.0003948291,0.003067142,0.00008601762],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975896,0.000217852,0.0002175059,0.0001405715,0.00004933064,0.00004068651,0.0001289567,0.00001245882,0.001603089],"genre_scores_gemma":[0.9974061,0.0002550779,0.00069392,0.0001812852,0.00003225303,0.00009364276,0.0001695472,0.0000122378,0.001156046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004845699,"threshold_uncertainty_score":0.0162105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04871695172421915,"score_gpt":0.3206657674226999,"score_spread":0.2719488156984807,"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."}}