{"id":"W4240185179","doi":"10.1515/iupac.88.0654","title":"Critical Period","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005875189,0.001240632,0.001530921,0.005921409,0.001739865,0.006260189,0.002458014,0.002091632,0.3208821],"category_scores_gemma":[0.05256792,0.0006535278,0.00236531,0.007327269,0.001007982,0.00564687,0.003737376,0.003050353,0.1845861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003504203,"about_ca_system_score_gemma":0.009372708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01189021,"about_ca_topic_score_gemma":0.01522957,"domain_scores_codex":[0.9935561,0.001427318,0.001713267,0.001369813,0.001211779,0.0007217263],"domain_scores_gemma":[0.9725,0.009594312,0.002733856,0.00501495,0.008695471,0.001461274],"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":[0.0001448575,0.000007848381,0.0004083763,0.001648806,0.00002095002,0.00002192474,0.00004645976,0.00004059808,0.00003325301,0.001918386,0.9859604,0.009748173],"study_design_scores_gemma":[0.00007617083,0.00000850052,0.0009034991,0.001185688,0.00001555714,0.00003141553,0.00008882295,0.00003046175,0.0000506646,0.001694072,0.9959015,0.00001369833],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003455514,0.001534971,0.0007430297,0.00311664,0.002894681,0.0007106692,0.964404,0.0007600632,0.02549035],"genre_scores_gemma":[0.003806395,0.00299464,0.003597919,0.005496325,0.001509458,0.00453592,0.9424698,0.001037713,0.03455188],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3208821,"threshold_uncertainty_score":0.9686793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0124790371288625,"score_gpt":0.4737336951014163,"score_spread":0.4612546579725538,"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."}}