{"id":"W3035566364","doi":"10.2196/19302","title":"mHealth Apps as Effective Persuasive Health Technology: Contextualizing the “Necessary” Functionalities","year":2020,"lang":"en","type":"article","venue":"JMIR Nursing","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"mHealth; Persuasive technology; Psychology; Computer science; Internet privacy; Knowledge management; Persuasion; Psychological intervention; Social psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009848275,0.001162127,0.0004287503,0.002603099,0.001943471,0.008024901,0.001139327,0.00255137,0.003791713],"category_scores_gemma":[0.01858522,0.001051574,0.0008434525,0.0009321701,0.004678479,0.0103023,0.004224962,0.002668637,0.0007362489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002371442,"about_ca_system_score_gemma":0.004941923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002705655,"about_ca_topic_score_gemma":0.005180054,"domain_scores_codex":[0.9900723,0.007006172,0.0006083597,0.0004833196,0.001405602,0.0004243258],"domain_scores_gemma":[0.9854811,0.01174343,0.0005480703,0.0006779525,0.001214343,0.0003351436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003184401,0.0007392948,0.009026804,0.01202856,0.00009768976,0.001094154,0.1205665,0.003537498,0.01685881,0.4409775,0.009932753,0.384822],"study_design_scores_gemma":[0.00028583,0.00127861,0.01391613,0.0200809,0.0005714496,0.001858893,0.06380416,0.01323796,0.02039046,0.1751071,0.6891803,0.0002881116],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1863061,0.01872133,0.4931123,0.03380393,0.001268431,0.006724398,0.0005520335,0.001943811,0.2575677],"genre_scores_gemma":[0.4631328,0.007964273,0.512289,0.002876532,0.000173395,0.003503218,0.0002224086,0.0002391915,0.009599091],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009848275,"threshold_uncertainty_score":0.05208331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07312532687387109,"score_gpt":0.4743573365551382,"score_spread":0.4012320096812672,"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."}}