{"id":"W4416411816","doi":"10.1093/jnci/djaf335","title":"Uptake of oncology-related biosimilars: a global analysis of usage data","year":2025,"lang":"en","type":"article","venue":"JNCI Journal of the National Cancer Institute","topic":"Biosimilars and Bioanalytical Methods","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Centre for Applied Research in Cancer Control; Health Sciences Centre; Sunnybrook Health Science Centre; University of Toronto","funders":"Canada Foundation for Innovation","keywords":"Biosimilar; Usage data; Quality (philosophy); Data source; Measure (data warehouse)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002823793,0.0005286424,0.000511612,0.005645912,0.0001358643,0.0009465687,0.0003500216,0.0004571257,0.001584357],"category_scores_gemma":[0.006018457,0.0001888489,0.00197277,0.009602548,0.0004883189,0.001409217,0.001056581,0.0004985371,0.0004225981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000633506,"about_ca_system_score_gemma":0.000358201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00386338,"about_ca_topic_score_gemma":0.00249539,"domain_scores_codex":[0.9979259,0.0008415611,0.0002724458,0.000431413,0.0003554959,0.000173199],"domain_scores_gemma":[0.9886971,0.003040779,0.006340496,0.0005224411,0.00100853,0.0003907501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002321088,0.00002747454,0.9911982,0.0001374078,0.0006485275,0.00005449284,0.0001747518,0.0008973771,0.0001783968,0.0001224262,0.0008256204,0.005503144],"study_design_scores_gemma":[0.00001857483,0.0002240468,0.9944617,0.00005805612,0.0002067398,0.0002874366,0.0003995573,0.001863979,0.000216153,0.00009772006,0.002150189,0.0000157658],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830002,0.001268213,0.0005712456,0.0001689736,0.000008050308,0.00002760068,0.01347787,0.00003219552,0.001445509],"genre_scores_gemma":[0.9873636,0.0004230366,0.0005559855,0.00005936088,0.0000150603,0.00003808288,0.01138166,0.00002186261,0.0001412012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005645912,"threshold_uncertainty_score":0.01493388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09661028781747728,"score_gpt":0.4275638917499583,"score_spread":0.330953603932481,"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."}}