{"id":"W4248442927","doi":"10.18609/cgti.2015.026","title":"Commercial Insight – November 2015","year":2015,"lang":"en","type":"article","venue":"Cell and Gene Therapy Insights","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Employment and Social Development Canada","funders":"","keywords":"Environmental science","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":[0.001748754,0.0005931224,0.0003828988,0.001218381,0.001355591,0.00770559,0.0009237689,0.005669497,0.2984492],"category_scores_gemma":[0.01224148,0.0004494981,0.0005191032,0.000987361,0.000737901,0.002880684,0.001280221,0.005061278,0.1821567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003265579,"about_ca_system_score_gemma":0.003959732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00803846,"about_ca_topic_score_gemma":0.02506376,"domain_scores_codex":[0.9981895,0.0001307722,0.00007270387,0.0001778316,0.001182168,0.0002469397],"domain_scores_gemma":[0.9965503,0.0007926002,0.0001803133,0.0001888436,0.001732402,0.0005553971],"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":[0.00001614116,0.000007278641,0.00004683902,0.00002928943,0.000001234278,0.00002945295,0.0000123589,0.00001262272,0.00004607012,0.004619163,0.9811429,0.01403667],"study_design_scores_gemma":[0.000004802184,0.000005727091,0.0001933365,0.00007390984,8.034536e-7,0.00002946481,0.00002081117,0.00001723342,0.00003759349,0.000538495,0.9990747,0.00000304873],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.0005650889,0.01563418,0.0005673153,0.1125487,0.02849176,0.0001054983,0.003130293,0.0006851278,0.8382719],"genre_scores_gemma":[0.003175852,0.005594564,0.0002596389,0.03609992,0.00323835,0.00005000061,0.001524524,0.0001673841,0.9498898],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.2984492,"threshold_uncertainty_score":0.9984119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02804562636088909,"score_gpt":0.2586570089947548,"score_spread":0.2306113826338657,"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."}}