{"id":"W4248142524","doi":"10.1515/iupac.81.0164","title":"Catagenesis","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Environmental Toxicology and Ecotoxicology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001886874,0.002100427,0.001536991,0.004403349,0.001463972,0.004604326,0.003336896,0.00229137,0.1330173],"category_scores_gemma":[0.01301272,0.0007280501,0.002110504,0.006691549,0.0006214177,0.00315357,0.003324761,0.002733487,0.1785735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001981793,"about_ca_system_score_gemma":0.004357361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01482126,"about_ca_topic_score_gemma":0.0384465,"domain_scores_codex":[0.9976469,0.000485737,0.0003633968,0.0008047749,0.0004261185,0.0002730555],"domain_scores_gemma":[0.9962866,0.001180033,0.0003184257,0.0009679634,0.0009241755,0.0003228652],"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":[0.00009465281,0.00002383888,0.0008878551,0.001115103,0.0000353332,0.00003559375,0.00003877278,0.0002216374,0.000101749,0.001377272,0.9924272,0.003640945],"study_design_scores_gemma":[0.0001539679,0.00001241909,0.001140892,0.0003588861,0.00002273779,0.00006659296,0.00007028851,0.0002616551,0.0001785287,0.002305202,0.9954085,0.0000203362],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001316099,0.000135632,0.0001526677,0.0001289429,0.00004508856,0.00002917359,0.9971848,0.0006065103,0.001585641],"genre_scores_gemma":[0.0003271135,0.0001227239,0.0005730817,0.0001174994,0.000009830711,0.0001712938,0.9975469,0.0001382201,0.000993426],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1330173,"threshold_uncertainty_score":0.4449873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01022889085380462,"score_gpt":0.354940604383479,"score_spread":0.3447117135296744,"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."}}