{"id":"W4251083850","doi":"10.1515/iupac.87.0180","title":"Dependency, Chemical","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; Chemistry; Linguistics; Philosophy; Organic chemistry; 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":[0.001028782,0.001675992,0.001451474,0.00507983,0.0009735443,0.003560246,0.002129489,0.001497849,0.1089463],"category_scores_gemma":[0.01414396,0.0006215036,0.001996338,0.008855274,0.0005738225,0.003720436,0.002356707,0.002485779,0.08107299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00182888,"about_ca_system_score_gemma":0.003260321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02622692,"about_ca_topic_score_gemma":0.03585616,"domain_scores_codex":[0.9978703,0.0002656066,0.0004685484,0.0007380375,0.0004460796,0.0002113295],"domain_scores_gemma":[0.9944054,0.002066247,0.0008695424,0.001173866,0.001236067,0.0002489381],"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":[0.0001693644,0.00002683147,0.005359758,0.004052388,0.0001131453,0.00006146566,0.00005151512,0.0004216787,0.0002059542,0.002114277,0.9753504,0.01207317],"study_design_scores_gemma":[0.00006432831,0.00001247461,0.004863018,0.0007921287,0.00004625355,0.00009159181,0.00006028104,0.0001463752,0.0001387671,0.001512603,0.9922517,0.00002039262],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002094492,0.0004109429,0.0001305841,0.0001238302,0.00007562785,0.00002022186,0.9964368,0.0002195388,0.002373077],"genre_scores_gemma":[0.001275189,0.0005935637,0.0006714144,0.0002714045,0.00002875114,0.0001155806,0.9945539,0.0001267051,0.002363533],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1089463,"threshold_uncertainty_score":0.3644617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01043895421345093,"score_gpt":0.3671036212014018,"score_spread":0.3566646669879509,"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."}}