{"id":"W6912935682","doi":"10.5683/sp3/s72dpn","title":"Dataset S4: Enzyme Assay Raw Data","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Raw material; Transformation (genetics); Replicate; Product (mathematics); Raw data","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":[0.002959384,0.003005061,0.003074966,0.004171647,0.001191932,0.00410021,0.003378487,0.003910646,0.1391093],"category_scores_gemma":[0.02318528,0.0009596262,0.00269837,0.008158544,0.0005406172,0.00165366,0.00198731,0.002258688,0.120829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001766851,"about_ca_system_score_gemma":0.003514897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01042237,"about_ca_topic_score_gemma":0.01787049,"domain_scores_codex":[0.996797,0.0005922219,0.0004966959,0.001121546,0.0006645496,0.0003279123],"domain_scores_gemma":[0.9899273,0.004996488,0.0009906482,0.001700525,0.002068228,0.0003167996],"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":[0.0004317632,0.00009793018,0.004269512,0.005736519,0.0003344209,0.00006433085,0.00003527124,0.001634077,0.0005706532,0.0008176403,0.9764484,0.009559411],"study_design_scores_gemma":[0.0008687674,0.000109426,0.01239034,0.001499141,0.00043925,0.00013196,0.00008112446,0.001027871,0.001006642,0.004311544,0.9780237,0.0001102446],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001005966,0.0001225498,0.00009962621,0.00004581138,0.00001940194,0.00001244428,0.9991158,0.0001785463,0.0003053278],"genre_scores_gemma":[0.0005558432,0.0001068978,0.0005292569,0.00009107823,0.00000931497,0.0001792297,0.9979597,0.00006538259,0.0005032491],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1391093,"threshold_uncertainty_score":0.465367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08627528710314668,"score_gpt":0.3459384115818526,"score_spread":0.2596631244787059,"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."}}