{"id":"W4247832603","doi":"10.1515/iupac.81.0891","title":"Syngenetic","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemistry and Chemical Engineering","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Ecology; Computer science; Biology; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001040184,0.0002651931,0.000248828,0.00001460384,0.00003972841,0.00001699176,0.0003939549,0.0002399667,0.03566756],"category_scores_gemma":[0.0001390816,0.0002068317,0.00009125695,0.00009134506,0.0001291317,0.00003564616,0.0002888062,0.0002674014,0.00002238126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004346343,"about_ca_system_score_gemma":0.00003491737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003516836,"about_ca_topic_score_gemma":0.00004362265,"domain_scores_codex":[0.998479,0.000007988764,0.000212785,0.0003712777,0.0006194952,0.0003094328],"domain_scores_gemma":[0.9992005,0.00003269445,0.00006729047,0.0005206927,0.00001156673,0.0001672925],"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":[0.00001091208,0.0000470103,0.000004791074,0.00004592751,0.00001352183,0.00002249609,0.000001284307,0.00002885506,0.002668547,1.314829e-7,0.9954806,0.001675897],"study_design_scores_gemma":[0.0002105431,0.00002091981,0.00001150149,0.000100142,0.00003193007,0.00001148541,0.000001328511,0.000009153719,0.002558151,0.00004059686,0.9967083,0.0002958878],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006035659,0.0001307998,0.00006497851,0.0001152743,0.0001681217,0.00006452925,0.9984112,0.00004400721,0.0003975449],"genre_scores_gemma":[0.0001534312,0.0002297515,0.0000372725,0.00009190741,0.0003514623,0.000007149539,0.9984037,0.00002045769,0.0007048346],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03564518,"threshold_uncertainty_score":0.965214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005195278231250446,"score_gpt":0.3185827294145144,"score_spread":0.313387451183264,"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."}}