{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00119595,0.0001880806,0.0001786092,0.00198,0.00176007,0.001795712,0.0007382656,0.0004326111,0.006090815],"category_scores_gemma":[0.002914579,0.0002999811,0.0006201356,0.003676005,0.0007798843,0.0006006886,0.0009489892,0.0004517632,0.000614977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04209861,"about_ca_system_score_gemma":0.08593395,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.97616,"about_ca_topic_score_gemma":0.9885882,"domain_scores_codex":[0.9962721,0.0001894295,0.0002093896,0.0002071551,0.002241718,0.0008802442],"domain_scores_gemma":[0.9930802,0.0003203785,0.001584642,0.0001232011,0.003442853,0.001448718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005015486,0.0001268986,0.9073325,0.0004190743,0.00008550221,0.0008257081,0.002672074,0.0003002637,0.002369711,0.002399443,0.01913753,0.0638299],"study_design_scores_gemma":[0.00001957028,0.0000963319,0.9325089,0.0001399178,0.00004775433,0.0004274814,0.00294819,0.0003431069,0.0007907245,0.00008308352,0.06257476,0.00002016234],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8892534,0.01032124,0.0007462446,0.006856188,0.0001495146,0.0001992309,0.01772958,0.00009949917,0.07464515],"genre_scores_gemma":[0.9315386,0.009426981,0.001109794,0.00114161,0.00006122605,0.00005837975,0.004825194,0.00004632594,0.05179191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04209861,"threshold_uncertainty_score":0.3054482,"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."}}