{"id":"W4249054601","doi":"10.1515/iupac.81.0843","title":"Species","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Environmental risk assessment; Ecology; Computer science; 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":[0.0008576641,0.001669601,0.001449888,0.004236083,0.001458459,0.003295856,0.002899074,0.001741806,0.1453474],"category_scores_gemma":[0.00594112,0.0007066726,0.001354202,0.007283246,0.0004675034,0.003599631,0.002912824,0.002477047,0.1954958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001302761,"about_ca_system_score_gemma":0.001917968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0149203,"about_ca_topic_score_gemma":0.02579504,"domain_scores_codex":[0.9982829,0.0002372641,0.0002234415,0.0006023556,0.0004340952,0.0002198384],"domain_scores_gemma":[0.9977664,0.0005194378,0.0002593417,0.0006345581,0.000644887,0.000175436],"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":[0.00005876027,0.00001258864,0.001473172,0.0008527189,0.00002758755,0.00002912997,0.0000472644,0.0001756662,0.0001892941,0.001926284,0.9885136,0.006693942],"study_design_scores_gemma":[0.00003054167,0.000004778984,0.001795621,0.0002444754,0.00001054603,0.0000551917,0.00007216349,0.00009191132,0.0000909986,0.00153043,0.9960597,0.00001379995],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002130074,0.0002028799,0.0001764289,0.0001002867,0.00006820714,0.00001568311,0.9956465,0.0003320473,0.003244994],"genre_scores_gemma":[0.0004966307,0.0001813243,0.0006424903,0.0001266603,0.00001196676,0.00005755127,0.9969419,0.0001080932,0.001433504],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1453474,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02170844621752543,"score_gpt":0.4151871356567343,"score_spread":0.3934786894392089,"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."}}