{"id":"W4237269278","doi":"10.1515/iupac.81.0942","title":"Viability Selection","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; Environmental risk assessment; Relation (database); Computer science; Ecology; Biology; Risk assessment; 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":[0.002651353,0.001783295,0.001810681,0.004594808,0.001329807,0.004088056,0.003189042,0.002546555,0.1972475],"category_scores_gemma":[0.02926939,0.0005770854,0.001706455,0.006023176,0.0005422547,0.002687757,0.002655595,0.002174292,0.1604724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001670975,"about_ca_system_score_gemma":0.003452792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01029636,"about_ca_topic_score_gemma":0.01955253,"domain_scores_codex":[0.9976078,0.0005558311,0.0003418702,0.0007371906,0.0004441368,0.0003130163],"domain_scores_gemma":[0.9913053,0.003656181,0.0004006539,0.001891865,0.002200698,0.0005452438],"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":[0.0002143712,0.00003649912,0.003336081,0.00066992,0.00004834942,0.0000698758,0.00003021125,0.0003230676,0.00008364339,0.001515124,0.9833754,0.01029744],"study_design_scores_gemma":[0.0004627579,0.00004244259,0.004465369,0.0008104212,0.00007838928,0.0002121302,0.0002109132,0.0008924339,0.000307885,0.006654056,0.9858247,0.00003842553],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000674275,0.0002757739,0.0004244482,0.0003150999,0.0001254658,0.0001584629,0.9930466,0.0004441983,0.00453584],"genre_scores_gemma":[0.001681812,0.0001970512,0.0009606967,0.0003331696,0.00003073473,0.0006122953,0.9927484,0.0001734406,0.003262364],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1972475,"threshold_uncertainty_score":0.6598588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008852100468688989,"score_gpt":0.3482275302291014,"score_spread":0.3393754297604124,"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."}}