{"id":"W4240677072","doi":"10.1515/iupac.81.0451","title":"Heterotroph","year":2016,"lang":"de","type":"dataset","venue":"IUPAC Standards Online","topic":"RNA regulation and disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Ecology; Environmental chemistry; Computer science; Biology; Chemistry; Data mining; Philosophy; Linguistics","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002923163,0.0007119931,0.0006037939,0.0001445472,0.000177766,0.0001082726,0.0005907276,0.0008321863,0.006901099],"category_scores_gemma":[0.0004876685,0.0005766136,0.0004943407,0.0001193662,0.0003230408,0.000005946049,0.0003783105,0.0002611742,0.00007418622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001783658,"about_ca_system_score_gemma":0.001238727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001176865,"about_ca_topic_score_gemma":0.0000792988,"domain_scores_codex":[0.9965314,0.0001913989,0.0006701332,0.001030782,0.0009204852,0.0006558058],"domain_scores_gemma":[0.9967754,0.00001923609,0.0003834295,0.001594199,0.0006402074,0.0005875113],"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":[0.001022773,0.0004202246,0.00009600066,0.0001436322,0.0003206095,0.00007061498,0.000003384393,0.000007194669,0.003848424,0.00001212087,0.9902207,0.003834284],"study_design_scores_gemma":[0.002450767,0.0006042398,0.0001326958,0.0002213149,0.0002236287,0.00001635396,0.00001094229,0.00001138732,0.0005377438,0.00005275575,0.9949793,0.0007588898],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004730061,0.007566174,0.0008048904,0.0009774115,0.00121527,0.000414032,0.9841965,0.00002666422,0.0000689461],"genre_scores_gemma":[0.002981312,0.005081527,0.00005576844,0.001113527,0.003890389,0.00002246327,0.9837952,0.00008599119,0.002973769],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.006826913,"threshold_uncertainty_score":0.9996685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009179205746502451,"score_gpt":0.367533051759995,"score_spread":0.3583538460134925,"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."}}