{"id":"W4243754864","doi":"10.1515/iupac.88.1295","title":"Retroperitoneal","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":[0.001055069,0.001043183,0.001249379,0.002565589,0.0007956317,0.003656633,0.001492925,0.001134771,0.2321137],"category_scores_gemma":[0.0101431,0.0004370121,0.001691577,0.004412957,0.0003934835,0.002752822,0.002346043,0.001872845,0.1752104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001066356,"about_ca_system_score_gemma":0.002349934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006310357,"about_ca_topic_score_gemma":0.008703412,"domain_scores_codex":[0.9987024,0.0002184831,0.000268991,0.0004427,0.0002335431,0.0001338799],"domain_scores_gemma":[0.9966083,0.00113188,0.0004537445,0.0008403947,0.0007387525,0.0002270497],"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":[0.0005829718,0.0000425002,0.004472126,0.002567568,0.0001301891,0.0002034405,0.00006707705,0.0003253929,0.0002202613,0.002900707,0.909445,0.07904271],"study_design_scores_gemma":[0.0001463262,0.00003230963,0.00452876,0.001230817,0.00006467138,0.000511632,0.0001110036,0.0001855982,0.000253156,0.003945695,0.9889643,0.00002565064],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001571789,0.002514016,0.001502144,0.0007208419,0.0004383818,0.0001780031,0.9583759,0.001565706,0.03313325],"genre_scores_gemma":[0.007306469,0.003132377,0.003419365,0.001791602,0.0002368187,0.0004684978,0.9635113,0.0007180766,0.01941553],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2321137,"threshold_uncertainty_score":0.7764975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01218315045327178,"score_gpt":0.4561942056034523,"score_spread":0.4440110551501805,"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."}}