{"id":"W4229807601","doi":"10.1515/iupac.81.0625","title":"Nekton","year":2016,"lang":"de","type":"dataset","venue":"IUPAC Standards Online","topic":"Biofield Effects and Biophysics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Environmental risk assessment; Ecology; Computer science; Risk assessment; Biology; 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":[0.000697896,0.0009540637,0.001524098,0.0002138467,0.0001867956,0.00009109731,0.0005046125,0.001286969,0.01546696],"category_scores_gemma":[0.0005887499,0.0006196668,0.0005190138,0.0003168341,0.0003911738,0.00008451025,0.0003013866,0.001316566,0.0002365414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005369864,"about_ca_system_score_gemma":0.001385302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001435449,"about_ca_topic_score_gemma":0.0001290763,"domain_scores_codex":[0.9952995,0.0001507915,0.0008106499,0.0009777664,0.00175539,0.001005894],"domain_scores_gemma":[0.9963878,0.0002484019,0.000428832,0.001642772,0.0007054133,0.0005867412],"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":[0.0009156482,0.000734869,0.00006784064,0.001028848,0.0007028307,0.0005297327,0.00002071815,1.859435e-7,0.000308609,0.00004554771,0.9560642,0.03958101],"study_design_scores_gemma":[0.003361959,0.002197858,0.00009097892,0.003086673,0.001545833,0.00002209255,0.00002649629,0.0000216522,0.0004248068,0.0001119963,0.9883134,0.0007962957],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007838606,0.00945792,0.0001681987,0.004966951,0.004393721,0.0007966303,0.9791443,0.0001008115,0.0001876015],"genre_scores_gemma":[0.0003964358,0.01226017,0.00005039772,0.002420445,0.014046,0.00001285711,0.9686186,0.00009808235,0.002097046],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03878471,"threshold_uncertainty_score":0.9996254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01235600269668002,"score_gpt":0.3943744640983911,"score_spread":0.3820184614017111,"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."}}