{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004772716,0.0004570762,0.0005091131,0.00007941326,0.0002442144,0.00002525457,0.0006317652,0.0007213588,0.2744384],"category_scores_gemma":[0.00007727461,0.0002856093,0.000150152,0.00008499657,0.0008160237,0.0001293663,0.0008718436,0.0005251564,0.0007480034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001004299,"about_ca_system_score_gemma":0.00003135176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004850933,"about_ca_topic_score_gemma":0.001208915,"domain_scores_codex":[0.9972776,0.0001322387,0.0004145651,0.0007252729,0.0006503691,0.000799961],"domain_scores_gemma":[0.9988014,0.00006124048,0.0001218534,0.0007865479,0.000007060701,0.0002219136],"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":[0.00007249563,0.000313386,0.0001403419,0.0000181549,0.00004169182,0.0001223784,0.000008570498,0.00001567083,0.0008252835,6.855161e-7,0.9975871,0.0008542147],"study_design_scores_gemma":[0.0005927418,0.0003250753,0.0001882446,0.00003097054,0.00006941718,0.00004542491,0.000005539167,0.000001675393,0.001127862,0.0003120497,0.9968557,0.0004453004],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002588784,0.00004915347,0.0000237681,0.0007377392,0.0008335385,0.0003034877,0.9946138,0.00004741154,0.0008022647],"genre_scores_gemma":[0.0002148663,0.0003138604,0.00003268791,0.001488159,0.0003311997,0.00003216246,0.9914014,0.00003866583,0.00614698],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2736905,"threshold_uncertainty_score":0.9999596,"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."}}