{"id":"W4282925999","doi":"10.2196/32614","title":"Mobile-Social Learning for Continuing Professional Development in Low- and Middle-Income Countries: Integrative Review","year":2022,"lang":"en","type":"review","venue":"JMIR Medical Education","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Johns Hopkins University","keywords":"Workforce; Medical education; Digital health; Social media; Health care; Digital content; Workforce development; Virtual learning environment; Psychology; Computer science; Multimedia; Medicine; World Wide Web; Political 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003944754,0.0004318274,0.001836131,0.0003208883,0.001406991,0.000009387027,0.0003475655,0.0007504131,0.002821735],"category_scores_gemma":[0.002939389,0.0003467349,0.000151203,0.0006264938,0.0001025963,0.00008079277,0.0002045379,0.003348094,0.00008174066],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001584558,"about_ca_system_score_gemma":0.02856131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003057082,"about_ca_topic_score_gemma":0.00007175154,"domain_scores_codex":[0.9935439,0.00167919,0.002573253,0.00070214,0.000713623,0.0007878469],"domain_scores_gemma":[0.9948167,0.002553958,0.001517009,0.0002279168,0.0002638893,0.0006205696],"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":[0.0000128306,0.0001549951,0.00005026441,0.2974547,0.00001000203,4.010256e-7,0.004293627,6.670804e-9,8.697761e-10,0.000896873,0.006408537,0.6907178],"study_design_scores_gemma":[0.0003362275,0.00004173806,0.0000522418,0.276913,0.0000515218,0.000003247114,0.001396658,0.000004208531,3.606561e-9,0.00003493642,0.7209712,0.0001950694],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00005328179,0.9699898,0.0000284351,0.001122394,0.002020948,0.02626833,0.00002728248,0.0000716422,0.0004179218],"genre_scores_gemma":[0.000006109042,0.6805966,0.0001576017,0.002315888,0.000545529,0.3117439,0.001153837,0.00004863649,0.003431905],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7145626,"threshold_uncertainty_score":0.9998985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05833698104055291,"score_gpt":0.5089314880360735,"score_spread":0.4505945069955206,"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."}}