{"id":"W4242871278","doi":"10.1515/iupac.88.0464","title":"Anencephaly","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":[0.0008368327,0.001165784,0.001315645,0.003612509,0.000693651,0.001778808,0.001463314,0.001111348,0.1044018],"category_scores_gemma":[0.009075079,0.0003855651,0.001505046,0.004217314,0.0004053741,0.001512917,0.001710221,0.001313435,0.04015524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001057709,"about_ca_system_score_gemma":0.002099748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01160961,"about_ca_topic_score_gemma":0.02426974,"domain_scores_codex":[0.9990801,0.0001566525,0.0002895624,0.0002216889,0.000166205,0.00008583596],"domain_scores_gemma":[0.996636,0.001252078,0.0007243644,0.0006336129,0.0005933398,0.0001605593],"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":[0.0003726849,0.00002372073,0.005146469,0.005527588,0.0001361566,0.0002054328,0.00004612486,0.000190539,0.0001277849,0.001251061,0.9574637,0.02950867],"study_design_scores_gemma":[0.0003290311,0.0000484628,0.02616752,0.006406236,0.0001792077,0.001111138,0.0001705788,0.0001835672,0.000319806,0.003526874,0.9615039,0.00005368104],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005064841,0.001331233,0.000140038,0.0002063029,0.0000847368,0.00008612228,0.992708,0.0001690762,0.004768032],"genre_scores_gemma":[0.002556369,0.002345871,0.0007555377,0.0005023631,0.00006004205,0.0004995432,0.9899338,0.00006741285,0.00327909],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1044018,"threshold_uncertainty_score":0.3492588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01197598958290901,"score_gpt":0.4587464898584881,"score_spread":0.4467705002755791,"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."}}