{"id":"W1887131865","doi":"10.2196/mhealth.4405","title":"Cannabis Mobile Apps: A Content Analysis","year":2015,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; National Institute on Drug Abuse; National Institutes of Health","keywords":"Cannabis; Android (operating system); Internet privacy; App store; Computer science; World Wide Web; Psychology; Psychiatry","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":[0.004754958,0.0005425453,0.0006483461,0.01714134,0.001573066,0.00250655,0.0006711285,0.0004263284,0.004183255],"category_scores_gemma":[0.01743681,0.0004109412,0.001200879,0.01102159,0.0007770334,0.002131097,0.002455737,0.0006522323,0.001666209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002701424,"about_ca_system_score_gemma":0.003579148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008510748,"about_ca_topic_score_gemma":0.01066643,"domain_scores_codex":[0.9966087,0.0009826506,0.0004614776,0.0003104505,0.001381523,0.0002552342],"domain_scores_gemma":[0.9828335,0.008598109,0.001341003,0.0004768834,0.006448376,0.0003020315],"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":[0.0009699928,0.0008650941,0.2160678,0.009140073,0.0002597611,0.001493849,0.0743265,0.0007015978,0.01033201,0.006795601,0.03860709,0.6404406],"study_design_scores_gemma":[0.0002220232,0.0009072907,0.7065713,0.005826986,0.0007832281,0.001546822,0.09240912,0.01284778,0.01051026,0.005147135,0.1629338,0.0002942679],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8772048,0.002285978,0.02433603,0.001652614,0.0001615348,0.02686063,0.03657605,0.00132597,0.02959645],"genre_scores_gemma":[0.7313179,0.004568653,0.1927226,0.0006731945,0.0002377249,0.02986032,0.02585782,0.0006290165,0.01413283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01714134,"threshold_uncertainty_score":0.02514696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1181120107382411,"score_gpt":0.4217330409162346,"score_spread":0.3036210301779935,"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."}}