{"id":"W2313828090","doi":"10.2165/11591820-000000000-00000","title":"Better Medicines for 300 Million Children in China","year":2011,"lang":"en","type":"article","venue":"Pediatric Drugs","topic":"Pharmaceutical studies and practices","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Peking University; Chinese Medical Association","keywords":"Medicine; China; Pharmacotherapy; MEDLINE; Traditional medicine; Internal medicine; Geography","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":[0.0009859947,0.0001707382,0.0002163026,0.0009629013,0.0005265521,0.0006071143,0.000330313,0.0005784811,0.003786637],"category_scores_gemma":[0.001965276,0.0001118276,0.0003190034,0.001724509,0.0003978217,0.000989328,0.0005475904,0.0005973165,0.0001336151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003084952,"about_ca_system_score_gemma":0.01478147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07421076,"about_ca_topic_score_gemma":0.1374118,"domain_scores_codex":[0.999433,0.0001541111,0.00007842499,0.00004361683,0.0001508593,0.000140079],"domain_scores_gemma":[0.9986231,0.0002114597,0.0005126972,0.00005513121,0.0001687631,0.0004287169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002529038,0.0003006924,0.7719182,0.001294062,0.0001921651,0.001175345,0.002193291,0.0007183613,0.001864095,0.01213442,0.02574747,0.1822089],"study_design_scores_gemma":[0.00008517999,0.0002354781,0.9185419,0.0004401247,0.0001246835,0.000522932,0.002472766,0.0003389815,0.0005457255,0.0008925523,0.07578138,0.00001833121],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.8457517,0.05876006,0.000254564,0.07303554,0.0003853674,0.00006828312,0.003725591,0.00003853132,0.01798039],"genre_scores_gemma":[0.9627579,0.02385808,0.001200298,0.006032989,0.0002979734,0.00004875372,0.001034925,0.000008123126,0.004760983],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.07421076,"threshold_uncertainty_score":0.1475576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03475454903399357,"score_gpt":0.3249099103793412,"score_spread":0.2901553613453476,"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."}}