{"id":"W4236999251","doi":"10.1515/iupac.88.1326","title":"Sexually Dimorphic Nucleus (SDN)","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; Biology; Linguistics; Data mining; 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":[0.001061102,0.001145632,0.001313738,0.003435819,0.0007795666,0.002065049,0.002074582,0.001497207,0.09624883],"category_scores_gemma":[0.008420443,0.0004954046,0.001510876,0.005429608,0.0004926933,0.001861536,0.002367483,0.001564305,0.06653094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001032155,"about_ca_system_score_gemma":0.002506719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01440439,"about_ca_topic_score_gemma":0.02700595,"domain_scores_codex":[0.9990247,0.0001638293,0.0002431139,0.000274296,0.0001777936,0.0001162054],"domain_scores_gemma":[0.9962846,0.001308283,0.000649015,0.0007767848,0.0007472917,0.0002339587],"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":[0.000214168,0.00001890581,0.003959178,0.00476558,0.00006814388,0.00007955908,0.00006277372,0.0002220815,0.0003051336,0.001147184,0.9772544,0.01190288],"study_design_scores_gemma":[0.0001256896,0.0000213202,0.01026445,0.001506857,0.00005965808,0.0001709982,0.00009366863,0.0001272844,0.000246396,0.001567825,0.9857819,0.00003397886],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001571287,0.0002808574,0.000117583,0.00007900588,0.00004508649,0.00002117304,0.9979779,0.0001282359,0.001193028],"genre_scores_gemma":[0.0008223767,0.0004259945,0.0005887286,0.0002121022,0.00001865315,0.0002081171,0.9964725,0.00006328578,0.001188361],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09624883,"threshold_uncertainty_score":0.3219844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01335316043814849,"score_gpt":0.441097559822167,"score_spread":0.4277443993840185,"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."}}