{"id":"W4229871719","doi":"10.1515/iupac.81.0293","title":"Ecoregion","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Ecology, Conservation, and Geographical Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Ecoregion; Environmental toxicology; Ecology; Computer science; Biology; Chemistry; 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":[0.0006414005,0.001546514,0.001160208,0.00389082,0.000807933,0.00293805,0.002214093,0.001139415,0.08529527],"category_scores_gemma":[0.004486459,0.0005047137,0.001028534,0.007797355,0.0003772009,0.002268673,0.002297672,0.001971187,0.1111094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001861308,"about_ca_system_score_gemma":0.002426068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03652007,"about_ca_topic_score_gemma":0.06583519,"domain_scores_codex":[0.9989848,0.0001513253,0.0001293736,0.0003499169,0.0002304361,0.0001542731],"domain_scores_gemma":[0.9982044,0.000343839,0.0002337643,0.0004219278,0.0006154478,0.0001807128],"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":[0.00004639027,0.00001066647,0.002077868,0.0007848628,0.0000264837,0.00003055313,0.00004468381,0.0002578037,0.0001002177,0.001629242,0.9910278,0.003963563],"study_design_scores_gemma":[0.00003558997,0.000003281885,0.002374305,0.0002372568,0.000008956959,0.00004846739,0.00008012311,0.0001273403,0.00009927768,0.0007330372,0.9962417,0.00001069351],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000125672,0.0001117719,0.00006490729,0.00006472463,0.0000235337,0.000005592059,0.9976234,0.0001794612,0.001800978],"genre_scores_gemma":[0.0004568088,0.0001252223,0.0002846546,0.00005106703,0.000005534143,0.00002865743,0.9979084,0.0000702323,0.001069527],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08529527,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01169011770391275,"score_gpt":0.3527424868091296,"score_spread":0.3410523691052169,"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."}}