{"id":"W4313242559","doi":"10.2196/39950","title":"Swasthya Pahal (Health for All) Using a Sustainable, Multisector, Accessible, Affordable, Reimbursable, and Tailored Informatics Framework in Rural and Urban Areas of Chennai, Tamil Nadu: Protocol for a Quantitative Study","year":2022,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Global Public Health Policies and Epidemiology","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tamil; Preprint; Protocol (science); Geography; Medicine; Computer science; World Wide Web; Alternative medicine","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":[0.02620319,0.001774136,0.001934479,0.002882857,0.005647475,0.002056921,0.003238503,0.001800075,0.04003678],"category_scores_gemma":[0.01893286,0.001491338,0.001740705,0.003355409,0.0020101,0.002008626,0.002568471,0.002928622,0.00597376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00611598,"about_ca_system_score_gemma":0.0272172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01381497,"about_ca_topic_score_gemma":0.02135275,"domain_scores_codex":[0.9894547,0.006509921,0.001283527,0.000783996,0.0008495353,0.001118348],"domain_scores_gemma":[0.9806249,0.004776563,0.002245941,0.002567725,0.007402882,0.002382012],"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":[0.04877819,0.06515983,0.0557077,0.0496537,0.0006285505,0.003821713,0.08294637,0.006574479,0.01620701,0.02177629,0.2071047,0.4416415],"study_design_scores_gemma":[0.05132478,0.03946415,0.2264771,0.014339,0.0006401323,0.0005825479,0.0944849,0.005269143,0.009822319,0.01061365,0.5461239,0.000858385],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.008315493,0.00005065945,0.001740947,0.0002417002,0.00005982421,0.984504,0.00333995,0.00006302224,0.001684411],"genre_scores_gemma":[0.002827267,0.00003222634,0.00241614,0.00008359802,0.000005843889,0.9940872,0.0002355812,0.000002725447,0.0003094716],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.04003678,"threshold_uncertainty_score":0.1385773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3058099131112328,"score_gpt":0.5668918807718105,"score_spread":0.2610819676605777,"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."}}