{"id":"W2947296288","doi":"10.17411/jacces.v9i1.183","title":"Understanding Risk in Daily Life of Diverse Persons with Physical and Sensory Impairments","year":2019,"lang":"en","type":"article","venue":"UPCommons institutional repository (Universitat Politècnica de Catalunya)","topic":"Injury Epidemiology and Prevention","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Psychology; Risk management; Qualitative research; Perception; Task (project management); Activities of daily living; Risk perception; Risk assessment; Applied psychology; Engineering; Computer security; Psychiatry; Business; Computer science; Sociology","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":[],"consensus_categories":[],"category_scores_codex":[0.0002709381,0.0001449308,0.0003301068,0.0002436129,0.0002711904,0.000006127,0.00009241083,0.0001253328,0.00002102522],"category_scores_gemma":[0.0000749094,0.0001392522,0.0001053599,0.0001799258,0.000545789,0.0002659168,0.00008494995,0.0003647878,0.00001097362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005766003,"about_ca_system_score_gemma":0.0004590339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003607505,"about_ca_topic_score_gemma":0.00003246002,"domain_scores_codex":[0.9989104,0.0001805715,0.0001773993,0.0002827531,0.0001946109,0.0002542817],"domain_scores_gemma":[0.9991334,0.0002175545,0.0001521923,0.0002578376,0.00004505834,0.0001939284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001348961,0.0003166846,0.9442053,0.0001223623,0.0002877631,0.0003358368,0.002013825,0.0004723749,0.002899544,0.04756886,0.0003893435,0.00003918728],"study_design_scores_gemma":[0.004715652,0.0009428919,0.9743824,0.0003932614,0.0005207401,0.001120966,0.01213131,0.003271941,0.0004002132,0.001289037,0.0005144314,0.0003171398],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.976464,0.00007599169,0.0004386855,0.0003112201,0.00009532928,0.0002647666,0.00006578454,0.00002611599,0.0222581],"genre_scores_gemma":[0.9985182,0.00002055979,0.0005684329,0.00009507574,0.00004455465,0.000002319018,0.00004315121,0.00000821691,0.0006994667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04627983,"threshold_uncertainty_score":0.567854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03621091005148221,"score_gpt":0.272957908694661,"score_spread":0.2367469986431788,"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."}}