{"id":"W2978708489","doi":"10.1021/cen-09736-buscon3","title":"BioVectra will go to investment firm","year":2019,"lang":"en","type":"article","venue":"C&EN Global Enterprise","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Investment (military); Business; Monetary economics; Economics; Political science; Law","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":[0.001171549,0.0008765119,0.0004294108,0.001165083,0.003003293,0.009784324,0.001125437,0.004922534,0.4504146],"category_scores_gemma":[0.004278186,0.0005630379,0.0006008387,0.0007280438,0.0004546411,0.003186375,0.001818267,0.003785981,0.2908885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003476504,"about_ca_system_score_gemma":0.009141445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0137863,"about_ca_topic_score_gemma":0.03188561,"domain_scores_codex":[0.9975486,0.00008169239,0.00005054833,0.0003145301,0.001452129,0.0005524414],"domain_scores_gemma":[0.9959248,0.0001794301,0.0001318429,0.0002415275,0.001565629,0.001956768],"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":[0.00002909493,0.00008537711,0.0002787035,0.00002451544,0.0000018499,0.00009060662,0.00001921662,0.00001804092,0.0002406213,0.00400602,0.9715632,0.02364271],"study_design_scores_gemma":[0.00001987401,0.00004614043,0.0005411307,0.000036869,0.000002519892,0.0001008522,0.00005419004,0.00006749458,0.0002004619,0.0005243451,0.9983953,0.00001085096],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00209563,0.001188778,0.0007137004,0.01406012,0.004326932,0.0002384764,0.001936643,0.002086303,0.9733533],"genre_scores_gemma":[0.005788321,0.0006740284,0.0003706232,0.005639691,0.0004757235,0.00006661341,0.002210865,0.0002615802,0.9845126],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4504146,"threshold_uncertainty_score":0.7839168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006703507848538433,"score_gpt":0.2685379559061836,"score_spread":0.2618344480576451,"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."}}