{"id":"W4389098765","doi":"10.2196/48040","title":"Development and Promotion of an mHealth App for Adolescents Based on the European Code Against Cancer: Retrospective Cohort Study","year":2023,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"mHealth; Social media; Descriptive statistics; Promotion (chess); Health promotion; Cohort; Psychology; Internet privacy; Medicine; World Wide Web; Medical education; Computer science; Public health; Political science; Nursing; Psychological intervention","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":[0.002428138,0.0004229131,0.0005757405,0.001305394,0.002074469,0.001619269,0.0006492807,0.0009961781,0.001904111],"category_scores_gemma":[0.006719694,0.0008027572,0.00100385,0.0009624531,0.0005628633,0.000957949,0.001239298,0.001665332,0.0008723235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009908703,"about_ca_system_score_gemma":0.002219802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02503027,"about_ca_topic_score_gemma":0.02521768,"domain_scores_codex":[0.998708,0.0002519182,0.0001278576,0.0003488616,0.0003438542,0.0002195118],"domain_scores_gemma":[0.9974217,0.0004380451,0.0006532613,0.0003636346,0.0007742245,0.0003491318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002301352,0.0009798197,0.9875272,0.00009983904,0.00006239599,0.0005641837,0.003963993,0.00002142016,0.0002571924,0.00008375416,0.0008181821,0.005391954],"study_design_scores_gemma":[0.00007925422,0.002612165,0.9763157,0.0002409238,0.0002224341,0.001937445,0.01174074,0.0003380729,0.0003831136,0.0001090754,0.005962195,0.00005879522],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975115,0.0002216182,0.0003059522,0.00005562363,0.00001262842,0.0005085394,0.000889198,0.00000623032,0.0004887792],"genre_scores_gemma":[0.9950678,0.0005791,0.0009353748,0.0002540524,0.00002266771,0.0008452543,0.00114672,0.00001964033,0.001129379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02503027,"threshold_uncertainty_score":0.0497691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0805421454086967,"score_gpt":0.4523563539328317,"score_spread":0.371814208524135,"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."}}