{"id":"W4251095041","doi":"10.21203/rs.3.rs-15650/v1","title":"A Systematic Review of Zero-markup Policy for Essential Drugs Effect on Medical Treatment","year":2020,"lang":"en","type":"review","venue":"Research Square (Research Square)","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"CINAHL; Scopus; Markup language; MEDLINE; Medicine; Grey literature; Systematic review; Family medicine; Political science; Computer science; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch","research_integrity"],"category_scores_codex":[0.04396652,0.001138353,0.01110612,0.004206866,0.0007218592,0.0002510077,0.002539198,0.001416202,0.0005118151],"category_scores_gemma":[0.03085677,0.0007557093,0.003352618,0.005004256,0.0006226622,0.0001811932,0.0006822472,0.003045702,0.003041273],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.004827309,"about_ca_system_score_gemma":0.005715777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006261737,"about_ca_topic_score_gemma":0.00005389989,"domain_scores_codex":[0.9796615,0.006196948,0.005665932,0.002274939,0.003045185,0.00315551],"domain_scores_gemma":[0.9851779,0.007472149,0.001456925,0.002627202,0.001279631,0.001986175],"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":[0.00005535007,0.0003429608,0.00000268974,0.8040197,0.0007593097,0.000080499,0.0002508376,9.01877e-8,5.988285e-8,0.01836888,0.003009816,0.1731098],"study_design_scores_gemma":[0.0006460664,0.00422924,8.598735e-7,0.5034683,0.00005718399,0.00002148739,0.00004890676,0.00003184832,0.000001813583,0.0005578483,0.4905447,0.0003917112],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00000625576,0.9621393,0.0001078186,0.002551444,0.0003968389,0.02856989,0.002260616,0.00007849886,0.003889324],"genre_scores_gemma":[0.0003249767,0.9815712,0.00002387263,0.000088802,0.001619462,0.0133124,0.0005510705,0.0003077997,0.002200447],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.4875349,"threshold_uncertainty_score":0.9999209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1439881311550919,"score_gpt":0.4847638170932687,"score_spread":0.3407756859381768,"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."}}