{"id":"W2529176780","doi":"","title":"Biologics and biosimilars: The current litigation landscape in Canada","year":2015,"lang":"en","type":"article","venue":"Journal of Bioanalysis & Biomedicine","topic":"Biosimilars and Bioanalytical Methods","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Biosimilar; Current (fluid); Medicine; Internal medicine; Engineering","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":[0.001838169,0.0001510802,0.0005063415,0.000304918,0.00004818648,0.0000124981,0.0002377729,0.00009719914,0.00007600289],"category_scores_gemma":[0.0004337425,0.00007312353,0.00008945002,0.0007676511,0.0002984173,0.00005234032,0.00005885475,0.0004483899,0.000002245175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001466114,"about_ca_system_score_gemma":0.0005544427,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01666513,"about_ca_topic_score_gemma":0.07439601,"domain_scores_codex":[0.9984086,0.0003414291,0.0007223296,0.0001536021,0.0001325452,0.0002415517],"domain_scores_gemma":[0.9988421,0.0002515138,0.0004135016,0.0001662442,0.0002331003,0.00009355031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000481038,0.0002704014,0.2585054,0.00004598854,0.001136689,0.00009441776,0.0005038794,0.00001134358,0.01626261,0.0001264547,0.09656601,0.6259958],"study_design_scores_gemma":[0.007455403,0.001775996,0.2007423,0.0004427026,0.002024382,0.0006702517,0.007405433,0.0006125406,0.01128898,0.002296197,0.7646187,0.0006670731],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6941334,0.2158969,0.0005286998,0.08592487,0.002681648,0.000251808,0.00005542221,0.00001243875,0.0005148091],"genre_scores_gemma":[0.9961581,0.0022585,0.000209684,0.001186111,0.0001302316,0.000001066236,0.00001084038,0.000004862422,0.00004063053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6680527,"threshold_uncertainty_score":0.989883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02915998354322146,"score_gpt":0.2784965381993019,"score_spread":0.2493365546560804,"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."}}