{"id":"W2128317495","doi":"10.2196/mhealth.3808","title":"Identifying Quality Indicators Used by Patients to Choose Secondary Health Care Providers: A Mixed Methods Approach","year":2015,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute for Health and Care Research","keywords":"Health care; Quality (philosophy); Competence (human resources); Categorization; Focus group; Descriptive statistics; Medicine; Usability; Nursing; Business; Psychology; Marketing; Computer science; Statistics","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":[0.1648997,0.002064183,0.003219231,0.02293007,0.003634396,0.006502181,0.003475944,0.002190762,0.005508864],"category_scores_gemma":[0.1411683,0.001369771,0.007309124,0.01826626,0.002571142,0.003271363,0.006175222,0.002123774,0.0006727406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01274377,"about_ca_system_score_gemma":0.01443819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0065024,"about_ca_topic_score_gemma":0.01259071,"domain_scores_codex":[0.848151,0.1091273,0.0202698,0.006317178,0.01345791,0.002676732],"domain_scores_gemma":[0.7781918,0.1632807,0.02172112,0.00659575,0.02891025,0.001300535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.00483516,0.00461775,0.1645744,0.08422216,0.007384969,0.001290051,0.2201816,0.00323235,0.005117283,0.02103819,0.005578666,0.4779274],"study_design_scores_gemma":[0.00393229,0.02570303,0.244411,0.05602941,0.01255425,0.001012338,0.4956216,0.03104305,0.01859386,0.04443735,0.06552903,0.001132828],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4235123,0.01391386,0.2247032,0.004061807,0.0004354263,0.3142205,0.006650322,0.0003201738,0.01218237],"genre_scores_gemma":[0.2878356,0.003735343,0.3797921,0.002017281,0.000105203,0.3233638,0.001454998,0.00007440463,0.001621356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1648997,"threshold_uncertainty_score":0.8720834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.161410253190097,"score_gpt":0.5452398336571156,"score_spread":0.3838295804670186,"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."}}