{"id":"W4253763045","doi":"10.1515/iupac.87.0671","title":"Threshold Potential","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; 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":[0.00118307,0.001293252,0.001211042,0.003956215,0.0009879011,0.003941927,0.002666693,0.001793264,0.1944526],"category_scores_gemma":[0.01563554,0.0005533044,0.002014782,0.005586314,0.0004123944,0.003405643,0.002290598,0.002033,0.1383007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001626891,"about_ca_system_score_gemma":0.003406071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01203182,"about_ca_topic_score_gemma":0.02296158,"domain_scores_codex":[0.9982923,0.0002534917,0.0003413259,0.0005368757,0.0003523636,0.0002237362],"domain_scores_gemma":[0.9958594,0.001498282,0.0004438064,0.0009181528,0.001033316,0.0002470932],"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":[0.000218927,0.00002554192,0.003777934,0.002346457,0.00007164665,0.00006229989,0.00004490375,0.0005432626,0.00009655428,0.003857334,0.9695023,0.01945266],"study_design_scores_gemma":[0.0001386324,0.00001610613,0.003029984,0.0008777296,0.00004485215,0.000123679,0.00009838649,0.0004093105,0.0001901339,0.006788836,0.9882566,0.0000257823],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003877608,0.0004165096,0.0004338791,0.0002865152,0.0001122103,0.0000575994,0.9897889,0.0006932605,0.00782325],"genre_scores_gemma":[0.00318982,0.0005757625,0.001732752,0.0004947156,0.00006141983,0.000318922,0.9869,0.0003133751,0.006413116],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1944526,"threshold_uncertainty_score":0.6505088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01014051577424555,"score_gpt":0.3543705959608081,"score_spread":0.3442300801865625,"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."}}