{"id":"W2292220849","doi":"10.2196/mhealth.4177","title":"Health Behavior Theory in Popular Calorie Counting Apps: A Content Analysis","year":2016,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Brigham Young University","keywords":"mHealth; Content analysis; Psychology; Computer science; Content (measure theory); Internet privacy; Multimedia; Psychological intervention; Mathematics; Psychiatry; Sociology","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":[0.007116053,0.0003353191,0.0004929484,0.005653949,0.0008265222,0.001986741,0.0005634624,0.0003220104,0.001714713],"category_scores_gemma":[0.02587104,0.000300441,0.0008042231,0.003195064,0.001250015,0.001444218,0.001803199,0.0008262194,0.0001805483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002118925,"about_ca_system_score_gemma":0.002971095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003156032,"about_ca_topic_score_gemma":0.004821796,"domain_scores_codex":[0.9971437,0.0008191901,0.0003859795,0.000266016,0.001232992,0.0001520491],"domain_scores_gemma":[0.9656112,0.0269221,0.002649804,0.0006097264,0.003897713,0.0003094467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003407386,0.001005921,0.6330095,0.003028501,0.0002533851,0.0004225938,0.1381226,0.0005265044,0.002926394,0.00311181,0.002483385,0.2147686],"study_design_scores_gemma":[0.00004573867,0.0003514322,0.9169,0.001588401,0.0003730397,0.0003262587,0.06467105,0.003473485,0.00161955,0.00192258,0.008668975,0.00005953592],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898807,0.0003020305,0.002979923,0.0002487311,0.00002224676,0.001526782,0.0006130265,0.00003132576,0.004395315],"genre_scores_gemma":[0.9827807,0.0005982612,0.01257455,0.0001428131,0.000026788,0.002141482,0.0008749851,0.00002467367,0.0008357224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007116053,"threshold_uncertainty_score":0.03763372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1333642523071402,"score_gpt":0.4764601019835943,"score_spread":0.3430958496764541,"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."}}