{"id":"W2746256962","doi":"10.1080/16549716.2017.1332259","title":"Are mobile health applications useful for supporting shared decision making in diagnostic and treatment decisions?","year":2017,"lang":"en","type":"article","venue":"Global Health Action","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Hôpital Saint-François d'Assise","funders":"Umeå Universitet; Canadian Institutes of Health Research; Genome British Columbia; Genome Canada","keywords":"mHealth; Relevance (law); Clinical decision making; Computer science; Field (mathematics); Data science; Knowledge management; Management science; Medicine; Political science; Engineering; Nursing; Psychological intervention","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0009664102,0.0002718015,0.0006094216,0.0001609496,0.006007016,0.00007321355,0.0004258816,0.0002358448,0.0000282038],"category_scores_gemma":[0.004331811,0.0002688969,0.00008032675,0.0002199889,0.00006741491,0.0004388411,0.0002594043,0.0003828551,0.00005609388],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005093195,"about_ca_system_score_gemma":0.001517357,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004016375,"about_ca_topic_score_gemma":0.02932585,"domain_scores_codex":[0.995656,0.0005738651,0.001737927,0.0006852058,0.0003003014,0.001046761],"domain_scores_gemma":[0.9899997,0.004229493,0.003460108,0.001524936,0.0002948574,0.0004909486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001634384,0.0001506733,0.3278805,0.0003629735,0.000006648944,7.787248e-7,0.00109825,0.00004109933,3.736217e-7,0.0004243935,0.001717838,0.668153],"study_design_scores_gemma":[0.002835678,0.0007551344,0.9024919,0.003263007,0.00001153319,0.000007294567,0.008580199,0.001686931,8.04956e-7,0.009549228,0.07055124,0.0002670655],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7667421,0.03251316,0.05747897,0.03606954,0.006113246,0.09459198,0.004779194,0.0009505728,0.0007612978],"genre_scores_gemma":[0.9600092,0.003117919,0.01074315,0.002300977,0.0002541205,0.02332909,0.000185944,0.00003419868,0.00002539281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.667886,"threshold_uncertainty_score":0.9999763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3416460641870957,"score_gpt":0.5624589120383785,"score_spread":0.2208128478512828,"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."}}