{"id":"W3036435001","doi":"10.2196/15492","title":"Understanding the Attitudes of Clinicians and Patients Toward a Self-Management eHealth Tool for Atrial Fibrillation: Qualitative Study","year":2020,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Medical Research Council; Medical Research Council; Philips","keywords":"Thematic analysis; eHealth; Medicine; Qualitative research; Atrial fibrillation; Self-management; Disease management; Patient education; Population; Psychology; Health care; Disease; Nursing; Internal medicine; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01651044,0.0003987671,0.000713743,0.001262649,0.005526318,0.003473631,0.001484445,0.001819384,0.002709442],"category_scores_gemma":[0.03134028,0.0005488247,0.0004610509,0.001350788,0.005083311,0.00331795,0.004218085,0.002802438,0.000360266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004744546,"about_ca_system_score_gemma":0.005545366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005455442,"about_ca_topic_score_gemma":0.006515045,"domain_scores_codex":[0.9863344,0.01025886,0.0004828744,0.0005776129,0.0009921226,0.00135404],"domain_scores_gemma":[0.9646538,0.02810901,0.001873367,0.0004253027,0.002507454,0.002430994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003274166,0.00006729141,0.004659947,0.0001928709,0.000005968422,0.0006125724,0.9894936,0.00002662561,0.0005122345,0.0004531415,0.0004091858,0.003533835],"study_design_scores_gemma":[0.000006511175,0.00005931911,0.001417559,0.0001951157,0.000004133816,0.0002570576,0.9941514,0.00008347834,0.0001580192,0.000149436,0.003506804,0.0000110833],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914452,0.0006588409,0.001876264,0.002993684,0.00005727033,0.0002525722,0.0001280414,0.00001042201,0.002577659],"genre_scores_gemma":[0.9945139,0.0007775272,0.001106062,0.001983032,0.00002200452,0.0003710903,0.00006625571,0.00001372257,0.001146418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01651044,"threshold_uncertainty_score":0.08731663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3151336140139001,"score_gpt":0.4590973481425087,"score_spread":0.1439637341286087,"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."}}