{"id":"W2814390729","doi":"10.2196/10237","title":"Health Care Apps Reported in Newspapers: Content Analysis","year":2018,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Newspaper; Content analysis; mHealth; Internet privacy; Health care; Advertising; Medicine; Psychology; Computer science; Nursing; Business; Psychological intervention; Political science; Sociology","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":[0.02105874,0.0005859801,0.001372715,0.03861029,0.001192807,0.003422254,0.001018874,0.0005822615,0.00318012],"category_scores_gemma":[0.1120793,0.0005508142,0.001348449,0.03148325,0.001649447,0.003047042,0.003624083,0.0006101488,0.0005343996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002860798,"about_ca_system_score_gemma":0.003483006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002866228,"about_ca_topic_score_gemma":0.003976851,"domain_scores_codex":[0.9793494,0.006592441,0.007636918,0.001328215,0.004488295,0.0006046732],"domain_scores_gemma":[0.7784956,0.1515691,0.03958587,0.002829215,0.02634844,0.001171849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001065825,0.0004218191,0.5329391,0.07238147,0.001340809,0.001963574,0.1858229,0.0003434629,0.003435445,0.001629185,0.01031384,0.1883425],"study_design_scores_gemma":[0.0001264791,0.0005275322,0.7751731,0.02104905,0.00200613,0.001721293,0.1481023,0.00121492,0.002782878,0.001140331,0.04597176,0.0001842798],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9492266,0.009182455,0.002784388,0.001014602,0.0001705581,0.007072236,0.02209057,0.0000868713,0.008371615],"genre_scores_gemma":[0.9326831,0.01341031,0.01839398,0.000840436,0.0004158655,0.01635588,0.01572399,0.0001226256,0.002053831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03861029,"threshold_uncertainty_score":0.1113706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1601173935817473,"score_gpt":0.499092003311176,"score_spread":0.3389746097294287,"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."}}