{"id":"W4240063224","doi":"10.1515/iupac.81.0097","title":"Benthic","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; Benthic zone; Ecology; Environmental science; Environmental chemistry; Computer science; Biology; Chemistry; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001348985,0.001580243,0.001208362,0.003766978,0.001098946,0.003584812,0.002536047,0.001793981,0.1781786],"category_scores_gemma":[0.0110206,0.0006056851,0.001328634,0.00719038,0.0004166353,0.0027682,0.002887803,0.002035069,0.2648924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001787296,"about_ca_system_score_gemma":0.002879202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01941248,"about_ca_topic_score_gemma":0.0420346,"domain_scores_codex":[0.9975052,0.0004265023,0.0003349271,0.000836437,0.0005938659,0.0003030027],"domain_scores_gemma":[0.9959311,0.0008424331,0.0003941232,0.001043667,0.001466182,0.0003224718],"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":[0.00004740031,0.00001239637,0.0009489686,0.000481325,0.00001557366,0.00001371698,0.00002635416,0.0001105846,0.00006936929,0.0009127944,0.9930214,0.004340156],"study_design_scores_gemma":[0.00005318482,0.000008260764,0.001941895,0.0003429632,0.00001180367,0.00004036796,0.00008066592,0.0001393224,0.0001339356,0.001279649,0.9959526,0.0000154644],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001085268,0.00008307736,0.0001025531,0.0001229235,0.00004530462,0.00001658933,0.9969324,0.0002334676,0.002355166],"genre_scores_gemma":[0.0002839212,0.00007080032,0.0002912552,0.0001021745,0.000008593356,0.00006429057,0.9974598,0.00006561168,0.001653657],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8218215,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01790309975925315,"score_gpt":0.4210012648527022,"score_spread":0.403098165093449,"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."}}