{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.003521561,0.0005913125,0.001112611,0.0003917535,0.002018383,0.00004019389,0.0004445882,0.0005697888,0.0002846161],"category_scores_gemma":[0.0007455854,0.000573875,0.00007883966,0.001290601,0.0001230152,0.0005964065,0.0002102029,0.003084941,0.0003953649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007599242,"about_ca_system_score_gemma":0.004329706,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009790506,"about_ca_topic_score_gemma":0.002705666,"domain_scores_codex":[0.9891894,0.002807505,0.002935617,0.001540588,0.0007755455,0.002751376],"domain_scores_gemma":[0.9926159,0.0007253258,0.001272088,0.0008261487,0.0004331852,0.004127307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.009418176,0.005784733,0.5630159,0.03217398,0.00007207928,0.00009687643,0.09349324,0.0001191227,0.0001421347,0.02560967,0.1172474,0.1528267],"study_design_scores_gemma":[0.006468902,0.002847623,0.681529,0.0001817902,0.00009575425,0.00001371694,0.01385352,0.001232921,0.00000111657,0.0002778342,0.2930105,0.0004872573],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8766139,0.001083212,0.0002235123,0.09719516,0.0008344546,0.02050316,0.0001693983,0.0005559644,0.002821247],"genre_scores_gemma":[0.9189253,0.002954928,0.001746327,0.06091178,0.001786084,0.01238788,0.0002000096,0.0001157628,0.0009719384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1757631,"threshold_uncertainty_score":0.9996713,"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."}}