{"id":"W4404480401","doi":"10.2196/54156","title":"Understanding Providers’ Attitude Toward AI in India’s Informal Health Care Sector: Survey Study","year":2024,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Traditional Chinese Medicine Studies","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Ayurveda, Yoga and Naturopathy, Unani, Siddha and Homoeopathy","keywords":"Preprint; Health care; Psychology; Computer science; Economic growth; Economics; World Wide Web","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":[],"consensus_categories":[],"category_scores_codex":[0.003181634,0.0002319683,0.0005091615,0.001436246,0.0002709075,0.0001140337,0.0001683493,0.00006855551,0.0000586566],"category_scores_gemma":[0.0003061296,0.0001699694,0.00007369809,0.00181034,0.0002602396,0.0006666224,0.0002020525,0.001728483,0.0001027771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002293106,"about_ca_system_score_gemma":0.001582125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009203636,"about_ca_topic_score_gemma":0.002477067,"domain_scores_codex":[0.9960462,0.0005652856,0.0005503689,0.0003352622,0.001726041,0.0007767717],"domain_scores_gemma":[0.9984547,0.0006978265,0.00004291836,0.0002320216,0.0003215604,0.0002509776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0005682171,0.0006050863,0.4003111,0.004137422,0.0003492886,0.0003139942,0.5481793,0.000005290735,0.000008407445,0.002486635,0.04152938,0.001505962],"study_design_scores_gemma":[0.00171184,0.002989978,0.8935283,0.0006998973,0.000006174148,0.00002541189,0.09968086,0.0001308905,0.000005833242,0.0001608311,0.0009314277,0.0001285193],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9708189,0.0022988,0.0002230899,0.007426957,0.0005227082,0.004788988,0.0001621385,0.0002189527,0.01353943],"genre_scores_gemma":[0.9987257,0.00006505568,0.00001719655,0.0003077727,0.0002007404,0.0003433986,0.0002041352,0.00003271809,0.0001032552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4932173,"threshold_uncertainty_score":0.7509496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3075670719772848,"score_gpt":0.4920477334398021,"score_spread":0.1844806614625172,"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."}}