{"id":"W4401947764","doi":"10.1101/2024.08.26.24312600","title":"An evaluation of the adequacy of Indian national and state Essential Medicines Lists (EMLs) for palliative care medical needs - a comparative analysis","year":2024,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Pharmaceutical Economics and Policy","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Palliative care; Medicine; State (computer science); Traditional medicine; Family medicine; Business; Nursing; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04691875,0.0002483125,0.0008181889,0.01739414,0.001635899,0.003703041,0.001457761,0.0004493255,0.003009403],"category_scores_gemma":[0.12533,0.0004099887,0.001504116,0.01857723,0.002285504,0.005202481,0.004444692,0.0008720721,0.0002116308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009402422,"about_ca_system_score_gemma":0.008779913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01255206,"about_ca_topic_score_gemma":0.02212437,"domain_scores_codex":[0.9642633,0.01803432,0.007555481,0.001045733,0.008093512,0.001007503],"domain_scores_gemma":[0.8188217,0.1157163,0.02979809,0.003228637,0.03082227,0.001613066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001691796,0.0003464657,0.4299938,0.0419443,0.00176394,0.0008737757,0.301189,0.0003879096,0.001211848,0.006220859,0.002985521,0.2113908],"study_design_scores_gemma":[0.00009974308,0.001268968,0.4916282,0.01126274,0.001765198,0.0008955194,0.4706639,0.0007149944,0.001051824,0.0008525591,0.01963307,0.0001633486],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9709653,0.01120672,0.0009624342,0.001327032,0.00005180085,0.001029547,0.002316369,0.00002677899,0.01211397],"genre_scores_gemma":[0.9927112,0.003711134,0.00196037,0.0002255504,0.0000197058,0.0004821275,0.0006161458,0.00001208776,0.0002616603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04691875,"threshold_uncertainty_score":0.248133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1354627508960776,"score_gpt":0.4168106424598266,"score_spread":0.2813478915637491,"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."}}