{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007616004,0.001998195,0.001385844,0.002993727,0.001002807,0.002749661,0.002148892,0.001659524,0.06979129],"category_scores_gemma":[0.004460818,0.0006137985,0.001335996,0.004757211,0.0003754318,0.001670279,0.002111264,0.001713933,0.119186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001217551,"about_ca_system_score_gemma":0.00180945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01448501,"about_ca_topic_score_gemma":0.03175041,"domain_scores_codex":[0.9988881,0.0001420147,0.0001383413,0.0004251582,0.0002489089,0.0001575715],"domain_scores_gemma":[0.9986063,0.0003331129,0.0002044589,0.0004063655,0.0003094613,0.0001403052],"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":[0.00019047,0.00003477219,0.003874425,0.002060233,0.00007599415,0.00005624225,0.00005314899,0.0005144906,0.0004590065,0.001211814,0.9840811,0.007388242],"study_design_scores_gemma":[0.0001263778,0.00001851029,0.00621304,0.0004677539,0.00003661508,0.0001151566,0.00009700472,0.000357405,0.0004233668,0.001609068,0.9905081,0.0000276198],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002474304,0.0001445132,0.00007364542,0.00004752028,0.00002296441,0.000007436449,0.9981824,0.0002149071,0.001059226],"genre_scores_gemma":[0.0004816002,0.00009497625,0.0002168115,0.00004940412,0.000004294857,0.00002699921,0.9983869,0.00003725348,0.0007017524],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06979129,"threshold_uncertainty_score":0.2334751,"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."}}