{"id":"W4229896398","doi":"10.1515/iupac.88.0911","title":"Hydroureter","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Effects and risks of endocrine disrupting chemicals","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Relation (database); Computer science; Linguistics; Philosophy; Data mining","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":[0.001274533,0.001365982,0.001427008,0.003679316,0.0007117009,0.002766951,0.002353148,0.001472208,0.1267451],"category_scores_gemma":[0.008267339,0.00060816,0.001452704,0.005997748,0.0003711331,0.002609706,0.002527286,0.001569039,0.1618405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001049442,"about_ca_system_score_gemma":0.002330107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01075424,"about_ca_topic_score_gemma":0.02309627,"domain_scores_codex":[0.9986361,0.0002527369,0.0002849079,0.0004082336,0.0002767399,0.0001412954],"domain_scores_gemma":[0.9970617,0.0008049221,0.0004481502,0.0007565828,0.0007171672,0.0002115418],"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":[0.0001389839,0.0000158968,0.001315062,0.002363512,0.00005052195,0.00003074084,0.00003814222,0.0001869789,0.0001964282,0.0009179402,0.9852084,0.009537389],"study_design_scores_gemma":[0.0001117276,0.00001502317,0.002674176,0.0006339171,0.00002783564,0.00004870505,0.00004747338,0.000128773,0.0001973296,0.001021979,0.9950721,0.00002091636],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001070502,0.0002054181,0.0001168068,0.00008357529,0.00003498823,0.0000223999,0.9972032,0.0004305471,0.00179598],"genre_scores_gemma":[0.0003961092,0.0002500009,0.0004236884,0.000145699,0.00001312146,0.0001117575,0.9972255,0.000122316,0.00131178],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1267451,"threshold_uncertainty_score":0.4240045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01136577730271587,"score_gpt":0.454286750151278,"score_spread":0.4429209728485621,"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."}}