{"id":"W6920144360","doi":"10.60692/cz7cn-9f046","title":"PANLAR consensus statement on biosimilars","year":2019,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Biosimilars and Bioanalytical Methods","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Rheumatology Association","funders":"","keywords":"Biosimilar; Pharmacovigilance; Delphi method; Delphi; Pharmacy; Pharmacoeconomics; Clinical trial","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":[],"consensus_categories":[],"category_scores_codex":[0.1187512,0.001661442,0.002973343,0.005654104,0.002715414,0.00724447,0.007536859,0.02251397,0.008294214],"category_scores_gemma":[0.1128577,0.001469814,0.00457244,0.003781362,0.003261826,0.00441872,0.007551214,0.01345299,0.01000383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008298946,"about_ca_system_score_gemma":0.04576197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004316212,"about_ca_topic_score_gemma":0.002852214,"domain_scores_codex":[0.882994,0.05479047,0.02406476,0.003950522,0.02892473,0.00527558],"domain_scores_gemma":[0.8972971,0.02914879,0.01041552,0.002554089,0.05399902,0.006585571],"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":[0.0004360543,0.0002492637,0.001174578,0.008869231,0.0001559097,0.00115407,0.001330142,0.001554606,0.001621966,0.02762228,0.7917811,0.1640508],"study_design_scores_gemma":[0.0001759121,0.0001362734,0.001315881,0.01519602,0.00009870306,0.0008962837,0.0007307688,0.0004151438,0.0007153832,0.01042087,0.9698332,0.00006548202],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00522086,0.08665401,0.03889519,0.6782387,0.07552277,0.007036539,0.005922233,0.0006506742,0.101859],"genre_scores_gemma":[0.06256397,0.1000779,0.1901808,0.4902463,0.02501589,0.02098764,0.02343002,0.0006877601,0.08680974],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1187512,"threshold_uncertainty_score":0.6280241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03698233551938615,"score_gpt":0.2441105803844544,"score_spread":0.2071282448650683,"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."}}