{"id":"W3167500278","doi":"10.2139/ssrn.3225485","title":"Similarities and Differences in Essential Medicines Lists of 137 Countries: A Quantitative Analysis","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Pharmaceutical Quality and Counterfeiting","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Business; Traditional medicine; Medicine","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":[0.004265398,0.0001591224,0.0006032236,0.01163871,0.0007123018,0.001634032,0.0005805682,0.0005698639,0.003812022],"category_scores_gemma":[0.02364383,0.0002629062,0.0007272921,0.0168875,0.0008019246,0.001601616,0.00186324,0.0004141461,0.0004694473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001402742,"about_ca_system_score_gemma":0.001014443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01016547,"about_ca_topic_score_gemma":0.009583669,"domain_scores_codex":[0.9926398,0.002631648,0.001593182,0.0008631587,0.001611406,0.0006607709],"domain_scores_gemma":[0.9549391,0.02632567,0.01026191,0.001421383,0.005912608,0.001139315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003982263,0.00005088579,0.9844761,0.0002907799,0.000388535,0.0001163953,0.004482996,0.00025153,0.0006561198,0.0003934405,0.0005518861,0.007943027],"study_design_scores_gemma":[0.00001384971,0.0001109517,0.9853901,0.00005978163,0.0001200184,0.0001821828,0.01208282,0.0003498632,0.0002080414,0.0001242291,0.001337141,0.00002094502],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99295,0.0002683098,0.0002882178,0.00006682593,0.000003728606,0.0000328196,0.005313299,0.000009903504,0.001066974],"genre_scores_gemma":[0.9951368,0.0001015777,0.0003828169,0.00002593811,0.000005312684,0.00003680275,0.004152816,0.000006608861,0.0001512943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01163871,"threshold_uncertainty_score":0.02255785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03240042085027892,"score_gpt":0.3694937651946746,"score_spread":0.3370933443443958,"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."}}