{"id":"W4255594656","doi":"10.1515/iupac.81.0823","title":"Silt","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Environmental science; Ecology; Environmental chemistry; Computer science; Biology; Chemistry; 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":[0.001525117,0.002279504,0.001528885,0.004606173,0.001441753,0.00440008,0.003330739,0.002170074,0.1467423],"category_scores_gemma":[0.008898489,0.0007739452,0.002164682,0.00717012,0.000529367,0.003168535,0.00363841,0.002394516,0.2543216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001928349,"about_ca_system_score_gemma":0.003070267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0182735,"about_ca_topic_score_gemma":0.04401021,"domain_scores_codex":[0.9979001,0.0003636678,0.000304144,0.0006613141,0.0004763668,0.0002944279],"domain_scores_gemma":[0.9965165,0.0008256988,0.0003625342,0.001026798,0.0009499548,0.0003185186],"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":[0.00006306534,0.00001642856,0.0008536858,0.000670359,0.00002459302,0.00001631378,0.00003252176,0.0001870288,0.00008758745,0.0008844015,0.9937235,0.003440612],"study_design_scores_gemma":[0.0001208547,0.00001712603,0.001983969,0.0004071541,0.00002039141,0.00005849286,0.0000979386,0.0003452617,0.0002242878,0.002100637,0.9946007,0.00002331043],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009844891,0.00008207386,0.0001038474,0.00009842939,0.00003358035,0.00001405485,0.9977018,0.000531241,0.001336613],"genre_scores_gemma":[0.000204737,0.00006666237,0.000301404,0.00006921432,0.000007757778,0.00004982982,0.9983322,0.0001088628,0.0008592563],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1467423,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01717199062888897,"score_gpt":0.4287376434847538,"score_spread":0.4115656528558649,"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."}}