{"id":"W2418126522","doi":"10.2196/mhealth.5361","title":"Mobile Phone Apps for Preventing Cancer Through Educational and Behavioral Interventions: State of the Art and Remaining Challenges","year":2016,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"CINAHL; Medicine; Smoking cessation; Cancer prevention; Psychological intervention; Randomized controlled trial; Mobile phone; eHealth; Health literacy; Cancer screening; mHealth; Cancer; Health care; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03325263,0.001248573,0.003734128,0.004823267,0.001108686,0.006271626,0.003335181,0.00520629,0.008845883],"category_scores_gemma":[0.05879663,0.001036875,0.003596792,0.004893491,0.002797234,0.01064163,0.003222155,0.005005608,0.001780559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00268946,"about_ca_system_score_gemma":0.01067538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003900954,"about_ca_topic_score_gemma":0.006979261,"domain_scores_codex":[0.9893609,0.004270842,0.002117468,0.0009355495,0.002776405,0.0005386946],"domain_scores_gemma":[0.8544238,0.1253873,0.005813364,0.001605473,0.01156882,0.0012012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001739104,0.0001939961,0.0008548359,0.116687,0.000342141,0.0001022183,0.0006419572,0.0002706592,0.0003913646,0.005838752,0.01350176,0.8610014],"study_design_scores_gemma":[0.0001861742,0.001233639,0.006775408,0.5443997,0.002850118,0.001013208,0.003708115,0.001517925,0.0009270132,0.01871458,0.4184897,0.0001843981],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003911879,0.9906088,0.0003540155,0.007301219,0.000299882,0.0000494731,0.00004389942,0.00002027257,0.0009312899],"genre_scores_gemma":[0.00463654,0.9894173,0.002230613,0.002540127,0.0007027539,0.0002107128,0.00006750907,0.00001017933,0.0001843814],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.03325263,"threshold_uncertainty_score":0.1758588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1969260576706873,"score_gpt":0.529486953342229,"score_spread":0.3325608956715416,"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."}}