{"id":"W2978147562","doi":"10.22270/ijdra.v7i3.341","title":"Regulatory architecture of biosimilars in Singapore: A critical overview","year":2019,"lang":"en","type":"article","venue":"International Journal of Drug Regulatory Affairs","topic":"Biosimilars and Bioanalytical Methods","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biosimilar; Business; Biological drugs; Product (mathematics); Agency (philosophy); Medicine; Clinical trial; Traditional medicine; Disease","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001163049,0.0001928552,0.0005250761,0.0004527261,0.00002109504,0.00001507843,0.0006361608,0.0002487183,0.0011547],"category_scores_gemma":[0.0003365467,0.0001536826,0.0003578783,0.0001777646,0.0004248104,0.0001576125,0.0001202822,0.0005813497,0.00002172744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001079571,"about_ca_system_score_gemma":0.0001623185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004351348,"about_ca_topic_score_gemma":0.000007654693,"domain_scores_codex":[0.9979881,0.0003398977,0.0009288018,0.0002248886,0.0002643705,0.0002539135],"domain_scores_gemma":[0.9983731,0.0004643796,0.0004455396,0.0002574942,0.0004060837,0.00005343487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003365119,0.002111176,0.08407626,0.0004564873,0.002809864,0.0003749302,0.002067261,0.0005498828,0.7755737,0.06140202,0.02098546,0.04622787],"study_design_scores_gemma":[0.01164516,0.001231397,0.2555232,0.004574295,0.0004754302,0.002801235,0.003755354,0.00009855743,0.5775644,0.03476501,0.1061872,0.001378819],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9734102,0.01105254,0.000136912,0.0077631,0.004259076,0.000171125,0.00004651263,0.00001677697,0.003143697],"genre_scores_gemma":[0.997435,0.0001224683,0.001518241,0.0003777186,0.00009870745,9.181798e-7,0.00000354333,0.00001691122,0.0004264695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1980093,"threshold_uncertainty_score":0.9997584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0133215128321611,"score_gpt":0.2978711697517574,"score_spread":0.2845496569195963,"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."}}