{"id":"W3002972298","doi":"10.31027/odprn.2020.01","title":"Current and prospective utilization of innovator biologics and biosimilars in Ontario","year":2020,"lang":"en","type":"report","venue":"","topic":"Biosimilars and Bioanalytical Methods","field":"Immunology and Microbiology","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Biosimilar; Innovator; Medicine; Business; Internal medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.000482955,0.0002579436,0.0007153352,0.0001708692,0.00002603884,0.000008820344,0.00008758558,0.0007495598,0.0002464174],"category_scores_gemma":[0.00035954,0.000183513,0.00005311993,0.0002535108,0.000409747,0.00002698881,0.0002021454,0.0007601022,0.000002216547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001281219,"about_ca_system_score_gemma":0.0005216576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001569399,"about_ca_topic_score_gemma":0.01441166,"domain_scores_codex":[0.9985978,0.000118128,0.0005383594,0.0004944198,0.00005119955,0.0002001006],"domain_scores_gemma":[0.9992815,0.00009748219,0.000240678,0.0001355672,0.000220132,0.00002459818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002115593,0.0002616442,0.9361286,0.000493782,0.0003651298,0.000005968408,0.0003369665,3.80085e-8,0.01008055,0.001732509,0.0129928,0.03739047],"study_design_scores_gemma":[0.0009536872,0.0005981134,0.513912,0.0003171433,0.0001845201,0.00004869509,0.00008869015,0.000003604022,0.01685925,0.001238744,0.4653357,0.0004598063],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5430824,0.2962405,0.002452072,0.007221508,0.01263238,0.009021947,0.001714687,0.000449511,0.127185],"genre_scores_gemma":[0.9604448,0.03209075,0.002836301,0.0005102286,0.00007743461,0.00004608692,0.0005518638,0.00005115986,0.00339139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4523429,"threshold_uncertainty_score":0.8042045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1154936748138373,"score_gpt":0.3523393394100678,"score_spread":0.2368456645962305,"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."}}