{"id":"W7090180954","doi":"10.2196/78573","title":"Protocol for a Scoping Review of Rural Communities First: Unpacking Artificial Intelligence Innovations and Healthcare Challenges in South Asia-Specific Regions (Preprint)","year":2025,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Unpacking; Protocol (science); Health care; Work (physics); mHealth; Qualitative research; Context (archaeology)","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":[0.08615818,0.005551778,0.01643813,0.01888044,0.009863729,0.01347915,0.00439797,0.01480336,0.1897365],"category_scores_gemma":[0.2300883,0.008824145,0.01639107,0.01624382,0.006734682,0.008939078,0.008980894,0.01729282,0.04908051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01981387,"about_ca_system_score_gemma":0.07980572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01059494,"about_ca_topic_score_gemma":0.02246012,"domain_scores_codex":[0.9152072,0.03246178,0.03432362,0.005044533,0.008286516,0.004676308],"domain_scores_gemma":[0.7747862,0.08952297,0.03887827,0.01940898,0.06945934,0.007944209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.01474284,0.0005774117,0.00108853,0.6657023,0.002808189,0.0007510636,0.006687791,0.0009845522,0.004377096,0.01116025,0.2354261,0.05569401],"study_design_scores_gemma":[0.04405032,0.001269579,0.004573414,0.4289345,0.003721831,0.0003896786,0.004380784,0.00112846,0.003253542,0.01807008,0.4894887,0.0007391456],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.0004742659,0.001967829,0.002075687,0.002323328,0.001935143,0.9749917,0.01349403,0.0003207293,0.002417282],"genre_scores_gemma":[0.000609032,0.0005626483,0.00333462,0.0006552793,0.0001247801,0.9929906,0.0007160551,0.0000344681,0.0009724757],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.1897365,"threshold_uncertainty_score":0.6347318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8114064054603684,"score_gpt":0.6659735176345997,"score_spread":0.1454328878257687,"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."}}