{"id":"W2472618036","doi":"10.2196/mhealth.5406","title":"Popular Mobile Phone Apps for Diet and Weight Loss: 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":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Usability; Mobile phone; Popularity; World Wide Web; Computer science; mHealth; App store; Internet privacy; Phone; Multimedia; Medicine; Psychology; Nursing; Human–computer interaction; Telecommunications","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":[0.007207051,0.0003767776,0.000592464,0.009667887,0.001292023,0.002409095,0.0005734447,0.000436608,0.00143661],"category_scores_gemma":[0.02112634,0.0003098079,0.0007643718,0.006244646,0.001288747,0.00296313,0.002071407,0.0008896535,0.0003268478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002990808,"about_ca_system_score_gemma":0.004072315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003845363,"about_ca_topic_score_gemma":0.008535787,"domain_scores_codex":[0.9967693,0.001256717,0.0004800415,0.0002042978,0.001132083,0.000157631],"domain_scores_gemma":[0.9770324,0.01588324,0.001821205,0.0004324185,0.004553922,0.0002767633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003544941,0.0006417405,0.1243509,0.01643636,0.000134673,0.001049829,0.3480578,0.0004424831,0.006753467,0.00569177,0.009256711,0.4868299],"study_design_scores_gemma":[0.00007729643,0.0008074747,0.5627986,0.01654942,0.0005169817,0.001195613,0.3136554,0.004531999,0.00407238,0.002709772,0.09290206,0.0001829499],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9651407,0.003737443,0.007138976,0.001866693,0.00008035309,0.008717078,0.002802953,0.0001321734,0.01038376],"genre_scores_gemma":[0.9005889,0.01020884,0.06809863,0.0008533468,0.0001163365,0.01290356,0.002758786,0.0001240397,0.004347584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009667887,"threshold_uncertainty_score":0.03811496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1016935011565455,"score_gpt":0.4506192058778196,"score_spread":0.3489257047212742,"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."}}