{"id":"W4400830732","doi":"10.5639/gabij.2022.1103.018","title":"Key factors for successful uptake of biosimilars: Europe and the US","year":2022,"lang":"en","type":"article","venue":"Generics and Biosimilars Initiative Journal","topic":"Biosimilars and Bioanalytical Methods","field":"Immunology and Microbiology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biosimilar; Key (lock); Business; Medicine; Computer science; Computer security; 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":[0.001719309,0.0002638174,0.000532087,0.0001494555,0.001131632,0.00006317471,0.0003317276,0.0001361228,0.000307633],"category_scores_gemma":[0.0003926897,0.0001569374,0.0001986656,0.0003450503,0.000992359,0.00008307215,0.0003683352,0.0006205392,3.955348e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002529434,"about_ca_system_score_gemma":0.00009558869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.255647e-7,"about_ca_topic_score_gemma":0.000003198963,"domain_scores_codex":[0.9978946,0.000692778,0.000603505,0.0003018051,0.000114333,0.00039292],"domain_scores_gemma":[0.9983436,0.0006946336,0.0004662815,0.0001728126,0.0002562891,0.00006636287],"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":[0.006593082,0.001141275,0.04214954,0.0002518385,0.004598694,0.00006453277,0.008506111,0.00008030868,0.1957251,0.005779438,0.7037979,0.03131216],"study_design_scores_gemma":[0.009301324,0.002330992,0.02312597,0.00004682897,0.0007833984,0.0007511149,0.004915648,0.0002921747,0.05592681,0.005141772,0.896676,0.0007079309],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8418385,0.04983557,0.005709992,0.09134991,0.004153075,0.001676498,0.00311008,0.00006181141,0.002264581],"genre_scores_gemma":[0.9160567,0.0109203,0.005417849,0.06699067,0.0002201696,0.00006563307,0.00006456032,0.00007192002,0.0001921896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1928781,"threshold_uncertainty_score":0.8703716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03940386486012425,"score_gpt":0.2793923534529661,"score_spread":0.2399884885928418,"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."}}