{"id":"W4213150681","doi":"10.2196/15719","title":"The Quality of Indian Obesity-Related mHealth Apps: PRECEDE-PROCEED Model–Based Content Analysis","year":2022,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"mHealth; Obesity; App store; Bivariate analysis; Quality (philosophy); Medicine; Psychology; Internet privacy; Computer science; World Wide Web; Nursing","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":[0.01640373,0.0006499168,0.0009124924,0.00577723,0.0008904914,0.00365892,0.001203855,0.0006224325,0.002679851],"category_scores_gemma":[0.05880091,0.0005148908,0.00419011,0.004262918,0.001325942,0.002389064,0.001826866,0.001465015,0.0004104264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00349322,"about_ca_system_score_gemma":0.004034387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009322701,"about_ca_topic_score_gemma":0.01044282,"domain_scores_codex":[0.9914829,0.003568691,0.001245374,0.0008071424,0.002499806,0.000396155],"domain_scores_gemma":[0.9206473,0.05985662,0.007221675,0.00288464,0.008749961,0.000639891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.001331882,0.001200031,0.8723773,0.00198695,0.001220195,0.0002088364,0.01669874,0.003892722,0.001342919,0.002430068,0.001260887,0.09604945],"study_design_scores_gemma":[0.0001509671,0.001590637,0.9007318,0.0007498402,0.001307457,0.0002600102,0.01551411,0.0722168,0.00207873,0.002112652,0.003138478,0.0001485276],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9785842,0.0004619452,0.01133879,0.0005225996,0.00002920633,0.002683906,0.001211654,0.0001435272,0.00502414],"genre_scores_gemma":[0.9843695,0.0002040548,0.01263694,0.00004524065,0.00001076038,0.00130756,0.0009209688,0.00002215252,0.0004827976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01640373,"threshold_uncertainty_score":0.08675218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1581016754475805,"score_gpt":0.4794029976121004,"score_spread":0.3213013221645198,"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."}}