{"id":"W2996480458","doi":"10.1016/j.gaitpost.2019.11.017","title":"Reading text messages at different stages of pedestrian circumvention affects strategies for collision avoidance in young and older adults","year":2019,"lang":"en","type":"article","venue":"Gait & Posture","topic":"Traffic and Road Safety","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Jewish Rehabilitation Hospital","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Pedestrian; Reading (process); Physical medicine and rehabilitation; Preferred walking speed; Collision avoidance; Motion (physics); Psychology; Affect (linguistics); Young adult; Audiology; Computer science; Medicine; Developmental psychology; Communication; Collision; Computer security; Artificial intelligence; Engineering; Transport engineering","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":[0.0003907923,0.0003817333,0.0002970369,0.0004711816,0.0004139298,0.001233436,0.0002745536,0.001045892,0.006676355],"category_scores_gemma":[0.006223288,0.0004348976,0.0003261191,0.0001924993,0.0001893334,0.0008646453,0.0004527207,0.0005537827,0.001076427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002689704,"about_ca_system_score_gemma":0.0002579307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008375691,"about_ca_topic_score_gemma":0.01349238,"domain_scores_codex":[0.9997833,0.00002991508,0.00002478437,0.0000467145,0.00005894171,0.000056203],"domain_scores_gemma":[0.9979267,0.0007148849,0.0007621753,0.00006195847,0.0002857233,0.0002485311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002698285,0.002400338,0.9337087,0.0002288742,0.0001678779,0.0004721586,0.02285987,0.0002259102,0.01055973,0.0001699529,0.001376247,0.02513212],"study_design_scores_gemma":[0.00002560035,0.0006881214,0.9959893,0.0000312242,0.00005526021,0.00009170398,0.002261109,0.0002019026,0.0002320608,0.00009621261,0.0003121361,0.00001528799],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99887,0.0000566486,0.00003406517,0.00002602526,0.000004850522,0.00001088058,0.00007202951,0.000005520732,0.0009199493],"genre_scores_gemma":[0.9966481,0.0001143711,0.0003039916,0.00009044352,0.00001193106,0.00002274978,0.0001603325,0.000006191737,0.002641965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008375691,"threshold_uncertainty_score":0.02233458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003712941801799658,"score_gpt":0.205466544877761,"score_spread":0.2017536030759614,"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."}}