{"id":"W4239629070","doi":"10.1515/iupac.88.1171","title":"Paracrine","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; Computer science; Linguistics; 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":[0.001651744,0.001512737,0.001472534,0.004048862,0.0008546412,0.003226292,0.002076532,0.001689403,0.08774468],"category_scores_gemma":[0.01083001,0.0007092965,0.002425751,0.00675601,0.0004864054,0.002798749,0.002435641,0.002189628,0.06816157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001364359,"about_ca_system_score_gemma":0.003531428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0133184,"about_ca_topic_score_gemma":0.02533779,"domain_scores_codex":[0.9977315,0.0003950854,0.000582067,0.0006000941,0.0004783231,0.0002129076],"domain_scores_gemma":[0.9952147,0.001661947,0.0008372678,0.001129773,0.0009218333,0.0002344978],"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":[0.0004263867,0.00004292814,0.005405139,0.008622339,0.0001734218,0.000104115,0.000086491,0.000482268,0.000697191,0.002419247,0.9488162,0.0327242],"study_design_scores_gemma":[0.0001276382,0.00003045428,0.006121499,0.001514968,0.00009689286,0.0001603025,0.00006728998,0.0001684416,0.0003477375,0.001839968,0.9894923,0.00003255179],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003565873,0.001498768,0.0004242162,0.000258544,0.0001491485,0.00006556046,0.9924642,0.0003761099,0.004406875],"genre_scores_gemma":[0.001620023,0.001584738,0.001343291,0.0004974699,0.00004576168,0.0003290548,0.9915142,0.0001204824,0.002944823],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08774468,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01280966900156591,"score_gpt":0.467178278098108,"score_spread":0.4543686090965421,"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."}}