{"id":"W4238209599","doi":"10.1515/iupac.79.1302","title":"Food Allergy","year":2016,"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":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Hazard; Toxicology; Computer science; Chemistry; Biology; Philosophy; Linguistics; Organic chemistry","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":[0.0009098471,0.001110036,0.001253068,0.002419308,0.0006055211,0.002079018,0.001470487,0.00153791,0.2034068],"category_scores_gemma":[0.01167843,0.0003728129,0.001659352,0.003439083,0.0001975185,0.00164278,0.001373395,0.00127164,0.1206016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009523397,"about_ca_system_score_gemma":0.001838016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008874912,"about_ca_topic_score_gemma":0.01656284,"domain_scores_codex":[0.9986597,0.0002073243,0.0002926637,0.0004254587,0.0002713685,0.0001434881],"domain_scores_gemma":[0.9966575,0.0009907094,0.0005359809,0.0006622206,0.000922098,0.0002315665],"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":[0.0003967189,0.00004890016,0.004537949,0.002683447,0.0001066413,0.00006873684,0.00002156948,0.0001223012,0.0001215914,0.0004527966,0.9620125,0.02942689],"study_design_scores_gemma":[0.0004501383,0.00005507916,0.01474144,0.002064044,0.0001565339,0.0004316092,0.00008377298,0.0001990579,0.000204201,0.001771804,0.9798074,0.00003502564],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006617908,0.001170939,0.000157953,0.0002961221,0.0001287236,0.00008675737,0.989237,0.000249777,0.008011065],"genre_scores_gemma":[0.002958247,0.001187188,0.0005641268,0.0008063906,0.00009242656,0.0002848199,0.986963,0.00008333171,0.007060552],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2034068,"threshold_uncertainty_score":0.6804636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009871146807942113,"score_gpt":0.4038724137459817,"score_spread":0.3940012669380396,"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."}}