{"id":"W2133707942","doi":"10.1002/sim.5567","title":"Impact of variability on the choice of biosimilarity limits in assessing follow‐on biologics","year":2012,"lang":"en","type":"article","venue":"Statistics in Medicine","topic":"Biosimilars and Bioanalytical Methods","field":"Immunology and Microbiology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Biosimilar; Bioequivalence; Econometrics; Limit (mathematics); Statistics; Computer science; Economics; Mathematics; Pharmacology; Medicine; Biotechnology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.004035743,0.0001500063,0.0004947587,0.0001208084,0.0000319851,0.000001627646,0.0001838639,0.0002492382,0.0005277297],"category_scores_gemma":[0.01185404,0.00007605228,0.00005069393,0.0003289288,0.0007032198,0.00002284088,0.00003682432,0.0005260926,0.000002562451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000686163,"about_ca_system_score_gemma":0.00004277493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002540875,"about_ca_topic_score_gemma":0.00003447762,"domain_scores_codex":[0.9978195,0.001122633,0.0005122843,0.0001705396,0.00006557917,0.0003094956],"domain_scores_gemma":[0.9913574,0.008047066,0.0001945613,0.0003029967,0.00007235072,0.00002563094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002401243,0.0009704657,0.8854852,0.00006342313,0.0001117469,0.000002155762,0.0002995698,0.000005964489,0.0623033,0.03595874,0.003107935,0.01145141],"study_design_scores_gemma":[0.0008596705,0.0009921208,0.9857866,0.0001783577,0.00004432993,0.000001300521,0.0000897976,0.00004977328,0.006476426,0.005179632,0.0002509,0.00009105986],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839308,0.0006157479,0.00630359,0.00139643,0.0008768417,0.0004039088,0.0004173123,0.00001127372,0.006044106],"genre_scores_gemma":[0.9966497,0.00007147891,0.002889516,0.0002961229,0.00003576353,0.000003446305,0.00002196623,0.000005624173,0.0000263699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1003015,"threshold_uncertainty_score":0.9964696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09628629694275934,"score_gpt":0.4257078071314531,"score_spread":0.3294215101886937,"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."}}