{"id":"W3013170743","doi":"10.2196/16497","title":"mHealth App Prescription in Australian General Practice: Pre-Post Study","year":2020,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"mHealth; Medical prescription; Medicine; Psychological intervention; Usability; Family medicine; Intervention (counseling); Nursing; 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":[0.008552562,0.000518724,0.001100212,0.001367678,0.002399087,0.00119455,0.0006723807,0.001349812,0.002976379],"category_scores_gemma":[0.01723214,0.0009598859,0.001108335,0.001682303,0.001227231,0.001677798,0.001851275,0.001808593,0.0008890252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003124355,"about_ca_system_score_gemma":0.00513778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03718677,"about_ca_topic_score_gemma":0.04787433,"domain_scores_codex":[0.9940852,0.002261718,0.0005910677,0.0005077493,0.001470301,0.001083989],"domain_scores_gemma":[0.985833,0.003050286,0.002890151,0.0008663316,0.0039314,0.003428767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.00558775,0.02702485,0.7965024,0.001380018,0.0002563756,0.0009044082,0.08258199,0.000114787,0.001778262,0.00009568461,0.001552917,0.08222058],"study_design_scores_gemma":[0.0003752702,0.0177493,0.9683924,0.0001022889,0.00007986535,0.00008622115,0.01172145,0.0000959091,0.0001583131,0.00003465253,0.001165652,0.00003866831],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978811,0.0001593034,0.00004225954,0.0002058343,0.0000159369,0.0006779148,0.00009762945,0.000005731591,0.0009141796],"genre_scores_gemma":[0.9962013,0.00031137,0.0003981786,0.0005136959,0.00004026683,0.001158817,0.0001263278,0.000003718191,0.001246175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03718677,"threshold_uncertainty_score":0.07394063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1180980663778129,"score_gpt":0.501575692422695,"score_spread":0.383477626044882,"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."}}