{"id":"W4245343156","doi":"10.1515/iupac.88.1397","title":"Telencephalon","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":[0.0009141676,0.001281882,0.001059184,0.003524612,0.0006793792,0.002128061,0.001808762,0.001155459,0.0733389],"category_scores_gemma":[0.005875485,0.0004918316,0.001245315,0.005272851,0.0004023278,0.001216629,0.001932354,0.00147253,0.07516195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001154939,"about_ca_system_score_gemma":0.002268758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01937005,"about_ca_topic_score_gemma":0.03471105,"domain_scores_codex":[0.9989077,0.0001674948,0.000222855,0.0003281492,0.0002542086,0.0001196307],"domain_scores_gemma":[0.9972741,0.0009074313,0.0004328896,0.0005930995,0.0006322007,0.0001603307],"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":[0.0002023274,0.0000195752,0.003298446,0.003069569,0.00008841232,0.00006421229,0.00004932111,0.0003785995,0.0003789507,0.000954863,0.9786913,0.01280438],"study_design_scores_gemma":[0.0001275202,0.00002310479,0.01259088,0.001009935,0.00006743596,0.0001461881,0.00007746554,0.000162331,0.0003789327,0.001015573,0.9843696,0.00003095353],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001776257,0.0002194343,0.00008295018,0.0000412326,0.00002830693,0.00001458007,0.9980277,0.00009433585,0.001313828],"genre_scores_gemma":[0.0005970349,0.0002648066,0.000301214,0.00007807568,0.00001048937,0.0001285519,0.9973585,0.00003465942,0.001226645],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0733389,"threshold_uncertainty_score":0.245343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01137277640844719,"score_gpt":0.4551380746587956,"score_spread":0.4437652982503484,"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."}}