{"id":"W2525897054","doi":"","title":"Some statistical issues on the evaluation of the similarity and interchangeability of biologics","year":2013,"lang":"en","type":"article","venue":"Journal of Bioequivalence & Bioavailability","topic":"Biosimilars and Bioanalytical Methods","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Interchangeability; Biosimilar; Bioequivalence; Risk analysis (engineering); Biochemical engineering; Computer science; Pharmacology; Biotechnology; Computational biology; Business; Medicine; Engineering; Pharmacokinetics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.4677377,0.001852445,0.003504865,0.005968791,0.002404626,0.005684209,0.005552441,0.005447644,0.003329313],"category_scores_gemma":[0.7197635,0.001123687,0.007183888,0.008175802,0.02066034,0.0055086,0.004530259,0.009226489,0.0005371847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004126562,"about_ca_system_score_gemma":0.003320021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001832503,"about_ca_topic_score_gemma":0.001199454,"domain_scores_codex":[0.3108844,0.5986769,0.02558085,0.01090847,0.05254332,0.001406027],"domain_scores_gemma":[0.06127748,0.8891921,0.01327857,0.02419152,0.01148799,0.0005722598],"domain_codex":"methods","domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.004438891,0.0007345648,0.03984874,0.005837236,0.005274418,0.002463594,0.003881489,0.02813825,0.005822957,0.452912,0.01887077,0.4317771],"study_design_scores_gemma":[0.0009092244,0.01003026,0.0430448,0.003527457,0.002832073,0.004147843,0.002144088,0.1173512,0.01861184,0.7223895,0.074256,0.0007558311],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02478355,0.01427174,0.9299265,0.01595378,0.002312955,0.002111712,0.0005127165,0.0004872154,0.009639922],"genre_scores_gemma":[0.3389677,0.004332758,0.6283835,0.01280259,0.005693427,0.006205812,0.0006660547,0.0005528959,0.002395222],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4677377,"threshold_uncertainty_score":0.6563742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1081024618092854,"score_gpt":0.357205385288697,"score_spread":0.2491029234794116,"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."}}