{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002463518,0.0001621679,0.0002930612,0.0001113777,0.001168245,0.000005816563,0.0001682826,0.0000725656,0.00003865463],"category_scores_gemma":[0.00005897146,0.000120276,0.00002588977,0.0004185489,0.00004377291,0.00004053102,0.00004661868,0.0003612683,0.00002592428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006221902,"about_ca_system_score_gemma":0.001255039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000365011,"about_ca_topic_score_gemma":0.003765379,"domain_scores_codex":[0.9974384,0.0006004482,0.0006179452,0.0004685074,0.0003308973,0.0005438206],"domain_scores_gemma":[0.9985101,0.0001317927,0.0004173305,0.0004083575,0.0002609901,0.0002714011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002230359,0.0005443679,0.9206122,0.001481916,0.000018708,6.921884e-7,0.003466832,0.00007772249,0.0000554057,0.0002392183,0.008519993,0.0647599],"study_design_scores_gemma":[0.001398321,0.0002156515,0.9675415,0.0004921536,0.0000151221,2.870946e-8,0.0009375723,0.001755832,0.00002198889,0.00002513853,0.02749465,0.0001020884],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9731883,0.00003661907,0.00009303162,0.00262374,0.0003755411,0.02210267,0.0003023102,0.0001738395,0.001103875],"genre_scores_gemma":[0.922489,0.0002090341,0.0001203602,0.001973708,0.0002787792,0.07448204,0.00008097688,0.00004801423,0.0003180214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06465781,"threshold_uncertainty_score":0.8985316,"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."}}