{"id":"W4248512227","doi":"10.1515/iupac.81.0542","title":"Lordosis","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; Ecology; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001633086,0.001472046,0.00132632,0.004833482,0.001207457,0.004498617,0.002318237,0.001728878,0.1943779],"category_scores_gemma":[0.01456918,0.0006546211,0.001176117,0.006982194,0.0004659515,0.003362512,0.003051192,0.002245328,0.3200907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00147379,"about_ca_system_score_gemma":0.002657999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01119566,"about_ca_topic_score_gemma":0.02701275,"domain_scores_codex":[0.9976243,0.0004468948,0.0003338767,0.0007661249,0.0005451071,0.0002837076],"domain_scores_gemma":[0.9950231,0.001216404,0.0004878813,0.001397048,0.001397376,0.0004781397],"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":[0.00004059195,0.000007151627,0.0005425867,0.0003596708,0.000009658264,0.00001162075,0.00001524158,0.00006460061,0.00003616598,0.0005744032,0.9951013,0.00323714],"study_design_scores_gemma":[0.00006250908,0.000006696279,0.001170854,0.0003010761,0.000008019488,0.00004446492,0.00004291465,0.0001278635,0.00009455979,0.001159397,0.9969692,0.00001251123],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001058922,0.0001598159,0.0001191804,0.0002056795,0.00007440953,0.00001483817,0.9957687,0.0004931302,0.003058465],"genre_scores_gemma":[0.0003514071,0.0001380224,0.0003292426,0.0001660948,0.00001723061,0.00005676092,0.9966786,0.0001513145,0.002111383],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1943779,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009842416974216327,"score_gpt":0.3548762848433392,"score_spread":0.3450338678691229,"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."}}