{"id":"W4247618293","doi":"10.1515/iupac.81.0876","title":"Stygophile","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); Environmental risk assessment; Computer science; Ecology; Risk assessment; Biology; Data mining; Linguistics; Philosophy","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":[0.0008531063,0.002090104,0.001557634,0.004242455,0.000884834,0.00453478,0.002218612,0.001793737,0.2341598],"category_scores_gemma":[0.007087387,0.0006342554,0.001258661,0.006974501,0.0004425037,0.003010677,0.003477601,0.00197764,0.3370739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001329716,"about_ca_system_score_gemma":0.002301425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01473531,"about_ca_topic_score_gemma":0.02829162,"domain_scores_codex":[0.9988012,0.0002060699,0.0001468406,0.0004212764,0.0002281713,0.0001964653],"domain_scores_gemma":[0.998198,0.0005012992,0.000233536,0.0004206352,0.0004079665,0.0002386213],"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":[0.00004828625,0.000007735714,0.0004835855,0.0006772043,0.00001654645,0.00001881207,0.00002315936,0.0001064008,0.00005535856,0.0006659459,0.9949415,0.002955521],"study_design_scores_gemma":[0.0000870502,0.000006972292,0.001097432,0.0003051354,0.00001067251,0.00004467417,0.00005483762,0.0001538829,0.0001031683,0.001090475,0.997033,0.00001279614],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000714139,0.0001080543,0.00007068603,0.00008695036,0.00003449144,0.000009388999,0.9975396,0.0004501937,0.001629197],"genre_scores_gemma":[0.0002580057,0.0001126807,0.0002067423,0.0000787572,0.000009112253,0.00004869706,0.9979553,0.0001438994,0.001186704],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2341598,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009830996285672789,"score_gpt":0.35499077564926,"score_spread":0.3451597793635872,"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."}}