{"id":"W4236678155","doi":"10.1515/iupac.87.0186","title":"Diaphoretic","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Immunotoxicology and immune responses","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Relation (database); Computer science; Psychology; Chemistry; Linguistics; Philosophy; Data mining; 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":[0.0009915064,0.001258589,0.001174861,0.003536537,0.0008190286,0.003317655,0.001787216,0.001138492,0.1630106],"category_scores_gemma":[0.00930337,0.0005885246,0.001281284,0.005935493,0.0003872869,0.002091213,0.001992022,0.001703514,0.1822277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001343764,"about_ca_system_score_gemma":0.002860113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01222606,"about_ca_topic_score_gemma":0.02244157,"domain_scores_codex":[0.9984603,0.0002342244,0.000311561,0.0004786093,0.0003514607,0.0001638176],"domain_scores_gemma":[0.9961975,0.001074971,0.000417921,0.0009872575,0.001053243,0.0002692106],"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":[0.0001098212,0.00001642838,0.001574849,0.001185173,0.00002992619,0.0000235734,0.00002619675,0.0001785357,0.0001006166,0.001276567,0.9859174,0.009560943],"study_design_scores_gemma":[0.00008102261,0.000009385929,0.002144474,0.0003279239,0.00001370458,0.00004403901,0.00004358542,0.0001464642,0.0001665825,0.001115388,0.9958951,0.00001236722],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000157815,0.0001287259,0.000171435,0.00008781675,0.00005153017,0.00002788178,0.9954209,0.0005878978,0.003365948],"genre_scores_gemma":[0.0007352483,0.0002094627,0.0006619697,0.0001634914,0.00002226605,0.0001300951,0.994535,0.000217046,0.003325427],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1630106,"threshold_uncertainty_score":0.5453249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009629422603206704,"score_gpt":0.3641603197897801,"score_spread":0.3545308971865734,"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."}}