{"id":"W4240985678","doi":"10.1515/iupac.81.0546","title":"Lotic Water","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); Chemical nomenclature; Ecology; River ecosystem; Environmental science; Computer science; Biology; Ecosystem; Chemistry; 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":[0.0007820171,0.001724222,0.001165589,0.003395807,0.0008632779,0.00214669,0.002567322,0.001566364,0.06228844],"category_scores_gemma":[0.003648529,0.0005474824,0.001168104,0.005427188,0.0004416596,0.002049103,0.002090781,0.001639053,0.08010215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001877088,"about_ca_system_score_gemma":0.002581534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03804307,"about_ca_topic_score_gemma":0.07975193,"domain_scores_codex":[0.9990146,0.0001447752,0.0001099639,0.0003198252,0.0002665581,0.0001443542],"domain_scores_gemma":[0.9985281,0.000278451,0.0002064317,0.0003464837,0.0004953173,0.0001451897],"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":[0.00008529539,0.00002588198,0.002188677,0.0009129113,0.00003372506,0.00003657931,0.00002955186,0.0004164175,0.0001543287,0.0008391373,0.9888837,0.006393654],"study_design_scores_gemma":[0.0001340688,0.00001767464,0.005351329,0.0004428161,0.00002320593,0.00007496469,0.0001194159,0.0006406208,0.000393796,0.001626095,0.9911472,0.00002875778],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002167594,0.00008028361,0.00007722405,0.00007281214,0.00001929116,0.0000112546,0.998106,0.0002695523,0.001146814],"genre_scores_gemma":[0.0004853198,0.0000728747,0.0002573319,0.0000592088,0.000004131732,0.00003688844,0.9982436,0.0000370755,0.0008037613],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06228844,"threshold_uncertainty_score":0.2083756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008940020432218176,"score_gpt":0.3413086389503551,"score_spread":0.3323686185181369,"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."}}