{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006137896,0.0001307875,0.0002046321,0.00007777898,0.00007849097,0.000008011563,0.00005719619,0.00125166,0.00007115216],"category_scores_gemma":[0.000003832625,0.0000854957,0.00003906502,0.0001205735,0.00014041,0.00003917194,0.00002723748,0.0007681517,0.00009561844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001116829,"about_ca_system_score_gemma":0.00005830188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001981639,"about_ca_topic_score_gemma":0.00000888363,"domain_scores_codex":[0.9994144,0.00002525266,0.0001295668,0.0001808398,0.0001003549,0.0001495146],"domain_scores_gemma":[0.9995096,0.00001322026,0.00003309059,0.0002159267,0.00006273716,0.0001654584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004771439,0.002598583,0.006894706,0.00009344495,0.0007848417,0.0007460787,0.02364022,0.00001057622,0.5839621,0.006840731,0.2440578,0.1255995],"study_design_scores_gemma":[0.003933358,0.0006397707,0.002270735,0.00001266021,0.00003200117,0.00009643016,0.00008100391,0.00003401466,0.2580495,0.0009277949,0.7337583,0.0001644851],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9243396,0.02778102,0.00007911713,0.009395291,0.0004203969,0.0001854787,9.444685e-7,0.00009593127,0.03770221],"genre_scores_gemma":[0.9837091,0.006811179,0.0002493063,0.004461048,0.0002171062,0.000004941664,0.00001518536,0.00001550235,0.004516659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4897005,"threshold_uncertainty_score":0.9653951,"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."}}