{"id":"W4237374677","doi":"10.1142/s0219030313000074","title":"INSIDE INDUSTRY","year":2013,"lang":"en","type":"article","venue":"Asia-Pacific Biotech News","topic":"Biosimilars and Bioanalytical Methods","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biosimilar; Sign (mathematics); Management; Engineering; Business; Biotechnology; Economics; Biology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002073994,0.00137687,0.0007292351,0.002044654,0.001396971,0.007857417,0.001475796,0.003897439,0.7602273],"category_scores_gemma":[0.006165733,0.0006652416,0.0008465169,0.001431091,0.0008366411,0.003696444,0.003495175,0.002684438,0.7710109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001428418,"about_ca_system_score_gemma":0.003255622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001377231,"about_ca_topic_score_gemma":0.001884783,"domain_scores_codex":[0.9965935,0.0002413701,0.0001416077,0.000565635,0.002037509,0.0004203837],"domain_scores_gemma":[0.9921685,0.0005148197,0.000444511,0.001204308,0.003382552,0.002285313],"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":[0.00004483884,0.00005727077,0.0002347748,0.0001749914,0.000004559556,0.00009833254,0.00005858665,0.00004038235,0.001321728,0.003990419,0.8252988,0.1686753],"study_design_scores_gemma":[0.000003394947,0.00001161847,0.0001158515,0.00004060696,0.000001229311,0.00006343217,0.00001970569,0.00001516122,0.0001709368,0.0003487429,0.9992064,0.000003007172],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006173911,0.003583244,0.002121233,0.007639413,0.00659147,0.0001474901,0.001574998,0.003204622,0.9745201],"genre_scores_gemma":[0.00259115,0.001557309,0.0007524891,0.002964353,0.001149521,0.00004552627,0.001448862,0.0005094972,0.9889814],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7602273,"threshold_uncertainty_score":0.3420066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02240020701402161,"score_gpt":0.2665267133930688,"score_spread":0.2441265063790472,"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."}}