{"id":"W3214622653","doi":"10.3389/fresc.2021.729237","title":"Phenotyping Adopters of Mobile Applications Among Patients With COPD: A Cross-Sectional Study","year":2021,"lang":"en","type":"article","venue":"Frontiers in Rehabilitation Sciences","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; West Park Healthcare Centre","funders":"Fundação para a Ciência e a Tecnologia; Ministério da Ciência, Tecnologia e Ensino Superior","keywords":"Mobile apps; COPD; Psychological intervention; Medicine; Physical activity; mHealth; Physical therapy; Smartphone app; Test (biology); Psychology; Internal medicine; World Wide Web; Computer science; Psychiatry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000906482,0.0002490401,0.0004908099,0.0007902537,0.000720321,0.0008533014,0.0002942137,0.000775888,0.001761307],"category_scores_gemma":[0.002092935,0.0005193779,0.0006190765,0.0009195388,0.0001839683,0.0007836217,0.0005477426,0.0008986464,0.0006827117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002305067,"about_ca_system_score_gemma":0.0002415009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002898321,"about_ca_topic_score_gemma":0.004098744,"domain_scores_codex":[0.9992854,0.0001565289,0.0001084136,0.0001493412,0.0001954609,0.0001048624],"domain_scores_gemma":[0.9986382,0.0003048669,0.0004399568,0.00009454157,0.0002677637,0.0002546204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006954675,0.0001560885,0.9986664,0.00001388206,0.0000355573,0.00004992295,0.0001991243,0.000006377359,0.0001692653,0.000004395137,0.00004204235,0.0005873161],"study_design_scores_gemma":[0.00000765268,0.0003998567,0.9985592,0.00000909897,0.00002956315,0.0001882565,0.0005583544,0.00005840301,0.00003396182,0.000006334537,0.000145605,0.000003699687],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992526,0.0001475462,0.00005881791,0.00002433861,0.000004454821,0.00003724601,0.0002018792,0.000001421103,0.00027159],"genre_scores_gemma":[0.9991747,0.0001226745,0.0001065797,0.0000804435,0.00001093702,0.00004901531,0.0002250747,0.000001554146,0.0002290831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002898321,"threshold_uncertainty_score":0.005892217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02506914566098284,"score_gpt":0.4030739012909517,"score_spread":0.3780047556299688,"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."}}