{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001333017,0.000110841,0.0005571279,0.0002265457,0.00007498714,0.000005597282,0.001047303,0.0002541729,0.0002901135],"category_scores_gemma":[0.0007216071,0.0000687884,0.0003538755,0.00177338,0.0005445472,0.0001436993,0.0002687139,0.0003168834,9.388607e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002234992,"about_ca_system_score_gemma":0.001270095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005109841,"about_ca_topic_score_gemma":0.0002475453,"domain_scores_codex":[0.9984007,0.0001987207,0.0009350613,0.0001573114,0.0001742166,0.0001339825],"domain_scores_gemma":[0.9979421,0.0001683487,0.000865048,0.000265321,0.0007400925,0.00001910506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003217846,0.003243965,0.1108551,0.000255168,0.1132924,0.00001980517,0.0003619151,0.00939689,0.2335031,0.06996913,0.2890062,0.1668785],"study_design_scores_gemma":[0.003467517,0.0002619364,0.3488457,0.0003880065,0.01218835,0.00006148522,0.00007092095,0.0007270754,0.02788918,0.005622362,0.6002517,0.0002257674],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7618013,0.0563381,0.004861507,0.07213236,0.03174439,0.001014196,0.01535353,0.00004230973,0.05671229],"genre_scores_gemma":[0.9957319,0.0004285028,0.001704469,0.001512997,0.00005465949,0.000001419424,0.00002555166,0.000002963022,0.0005375356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3112455,"threshold_uncertainty_score":0.3176539,"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."}}