{"id":"W4232221333","doi":"10.1515/iupac.88.1499","title":"Whole Embryo Culture","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; 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":[0.00226784,0.001112128,0.0015852,0.002828028,0.001335162,0.003417781,0.002702313,0.002064305,0.09641702],"category_scores_gemma":[0.009004994,0.000739511,0.001773935,0.00498196,0.0005602799,0.00160674,0.002052805,0.00258171,0.08935947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001198994,"about_ca_system_score_gemma":0.003313396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01262872,"about_ca_topic_score_gemma":0.02461043,"domain_scores_codex":[0.9979299,0.0003176884,0.0004511324,0.0006480333,0.0004552326,0.000197992],"domain_scores_gemma":[0.9954964,0.001669195,0.0003525724,0.001297185,0.001007532,0.0001771615],"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":[0.0004524309,0.00006789387,0.002596386,0.003732712,0.0001511045,0.0001644318,0.00008755597,0.0006629111,0.002265418,0.002095101,0.9684719,0.01925221],"study_design_scores_gemma":[0.0002759421,0.00005045097,0.004599715,0.0007986146,0.0001186239,0.0002216919,0.00009657866,0.0003314572,0.002105843,0.002284675,0.9890708,0.00004557704],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005667048,0.0007517152,0.0009831082,0.0001713183,0.0001346806,0.0001598238,0.9930675,0.0006347238,0.003530402],"genre_scores_gemma":[0.0009728366,0.0007091252,0.002338518,0.0003211614,0.00002308244,0.0007238756,0.992072,0.0001555482,0.002683722],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09641702,"threshold_uncertainty_score":0.3225471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0101829225847162,"score_gpt":0.4415274977448659,"score_spread":0.4313445751601497,"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."}}