{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01032725,0.0006112328,0.0007655899,0.001671706,0.0009729124,0.005928866,0.001190655,0.003962118,0.01089056],"category_scores_gemma":[0.08617661,0.0004794151,0.0008720875,0.001750667,0.001457685,0.006824543,0.002175164,0.001581828,0.003833064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006101808,"about_ca_system_score_gemma":0.001203138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008197028,"about_ca_topic_score_gemma":0.001045654,"domain_scores_codex":[0.9899893,0.007355985,0.0005635886,0.0004292069,0.001237903,0.0004239751],"domain_scores_gemma":[0.9172255,0.07154532,0.004602044,0.002616357,0.003026596,0.0009841664],"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":[0.001050423,0.000328447,0.02078292,0.003414884,0.0001939666,0.0007960969,0.005274966,0.001111729,0.00272278,0.01087938,0.02312114,0.9303232],"study_design_scores_gemma":[0.001260359,0.003670606,0.08399329,0.02758768,0.001545014,0.01072247,0.04068185,0.0258916,0.01661869,0.2188362,0.5683174,0.0008749481],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.2739302,0.1124861,0.2044501,0.2472437,0.005622196,0.001554799,0.003309233,0.003200152,0.1482036],"genre_scores_gemma":[0.7932956,0.0478027,0.1358179,0.01261655,0.003131385,0.0009161849,0.0008675741,0.0002899963,0.005262058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01089056,"threshold_uncertainty_score":0.05461639,"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."}}