{"id":"W4238044983","doi":"10.1515/iupac.81.0317","title":"Endemism","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Pesticide and Herbicide Environmental Studies","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; Ecology; Biology; Computer science; Risk assessment; 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":[0.001935848,0.001784758,0.001458418,0.004743137,0.001241778,0.004341071,0.003085597,0.002384749,0.136079],"category_scores_gemma":[0.01507819,0.0006117095,0.001676997,0.007693386,0.0005812354,0.003284873,0.003239455,0.002514803,0.2114233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001860867,"about_ca_system_score_gemma":0.003304646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01581003,"about_ca_topic_score_gemma":0.03561516,"domain_scores_codex":[0.997168,0.0005124736,0.0004059311,0.000922983,0.0006317965,0.0003587858],"domain_scores_gemma":[0.9947685,0.001485277,0.0004897701,0.001252941,0.001511732,0.0004917901],"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":[0.00004834097,0.00001168283,0.0008503716,0.0006714744,0.0000203725,0.00001686729,0.00002576676,0.0001145993,0.00004479835,0.0007814336,0.9937682,0.003646111],"study_design_scores_gemma":[0.0000952293,0.00001074245,0.001474298,0.0004055984,0.0000167505,0.00004830494,0.00006698679,0.0002073669,0.0001118052,0.001453012,0.996095,0.00001485856],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001099465,0.0001532588,0.000108779,0.0001992226,0.00005948815,0.00001796389,0.9969854,0.0004169308,0.001949043],"genre_scores_gemma":[0.0003019216,0.000107841,0.0003851136,0.0001679904,0.00001480302,0.00008082327,0.9975299,0.000111432,0.001300214],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.136079,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01162678714361706,"score_gpt":0.3541665540369888,"score_spread":0.3425397668933717,"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."}}