{"id":"W4256043779","doi":"10.1515/iupac.81.0395","title":"Fluid Feeder","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Physics and Engineering Research Articles","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Environmental risk assessment; Computer science; Ecology; Risk assessment; Biology; 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":[0.001547737,0.002244844,0.001622391,0.003704429,0.001346375,0.004017714,0.004023346,0.002540216,0.1212065],"category_scores_gemma":[0.01120297,0.0006977145,0.001732079,0.005942522,0.0005247221,0.003385862,0.002802464,0.002303062,0.2218889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001903419,"about_ca_system_score_gemma":0.00311574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02022739,"about_ca_topic_score_gemma":0.04276113,"domain_scores_codex":[0.9982572,0.0003420023,0.000202823,0.000572157,0.000373495,0.0002523372],"domain_scores_gemma":[0.9969404,0.0007571894,0.0002260398,0.0009538283,0.0008382378,0.0002844116],"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":[0.00007483998,0.00002229819,0.001035322,0.0004455365,0.00002299684,0.00001884793,0.00002490291,0.000271944,0.00004639427,0.0009032286,0.9921054,0.005028219],"study_design_scores_gemma":[0.0001263473,0.00001429586,0.00160044,0.0002667889,0.00001700157,0.00005520858,0.00008963938,0.000567179,0.0001818239,0.002380004,0.9946811,0.00002023845],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001957164,0.0001339026,0.0001609109,0.0001708667,0.0000541301,0.0000260527,0.9960951,0.0009299291,0.002233454],"genre_scores_gemma":[0.0005137748,0.0001013355,0.0005039391,0.00009929852,0.0000113853,0.00009443016,0.9970657,0.0001096128,0.001500492],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1212065,"threshold_uncertainty_score":0.4054762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01029131713410479,"score_gpt":0.3523486394159311,"score_spread":0.3420573222818263,"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."}}