{"id":"W4251505911","doi":"10.1515/iupac.81.0147","title":"Biotic Score","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; Environmental risk assessment; Relation (database); 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":[0.001184372,0.002368927,0.001636328,0.004650581,0.001007294,0.003262992,0.00265401,0.001734219,0.1023723],"category_scores_gemma":[0.01060565,0.0004383785,0.001853553,0.005484149,0.0003753223,0.002644267,0.002383517,0.002081512,0.1424459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0018052,"about_ca_system_score_gemma":0.002029942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01881258,"about_ca_topic_score_gemma":0.05000528,"domain_scores_codex":[0.9980653,0.0003225021,0.0002444265,0.0007116545,0.0004151587,0.0002410597],"domain_scores_gemma":[0.997358,0.0007587538,0.0002600822,0.0005691465,0.000809974,0.0002439398],"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":[0.0001239065,0.00003571465,0.005100512,0.0007018195,0.0000733249,0.00002830936,0.00001979207,0.0003943987,0.00006265121,0.0006964114,0.9833615,0.009401573],"study_design_scores_gemma":[0.0002354008,0.00005071038,0.01426593,0.0003795291,0.00007622402,0.0001731942,0.0001743373,0.001151094,0.0002846178,0.003520302,0.9796315,0.00005719056],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000507826,0.0001889569,0.0001466173,0.0001576308,0.00005740577,0.00002606512,0.9959513,0.0004539653,0.002510274],"genre_scores_gemma":[0.001160048,0.0001156987,0.0004675201,0.00009025572,0.00001919353,0.00008854514,0.9962238,0.00008680213,0.001748043],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1023723,"threshold_uncertainty_score":0.3424694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01287679753565488,"score_gpt":0.3517684399632653,"score_spread":0.3388916424276105,"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."}}