{"id":"W4241824961","doi":"10.1515/iupac.76.0263","title":"Latency","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Toxicokinetics; Computer science; Toxicology; Medicine; Pharmacology; Linguistics; Biology; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001634214,0.001973148,0.001445163,0.004031972,0.001093714,0.003746218,0.002739599,0.002130211,0.1763175],"category_scores_gemma":[0.01325903,0.0006299816,0.001695455,0.006252244,0.0004244854,0.003355396,0.0023376,0.001946031,0.2279978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001800867,"about_ca_system_score_gemma":0.002990675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01696865,"about_ca_topic_score_gemma":0.03152292,"domain_scores_codex":[0.9972812,0.0004646865,0.0004322607,0.001020163,0.0005277,0.0002739714],"domain_scores_gemma":[0.9951704,0.001462162,0.0004362512,0.001187,0.001453621,0.0002905615],"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":[0.00006645211,0.00001810344,0.0008679327,0.0006379512,0.00002230102,0.00001768067,0.00002785127,0.0001427881,0.00008431266,0.0006712803,0.9919986,0.00544484],"study_design_scores_gemma":[0.00010326,0.00001755595,0.002129304,0.0004434786,0.00002362866,0.00005653688,0.0001052417,0.0002541002,0.0001754364,0.001835965,0.9948288,0.00002673863],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001205879,0.0001183712,0.0001373461,0.0001195388,0.00004981519,0.00002805468,0.9976185,0.0003491757,0.001458678],"genre_scores_gemma":[0.0003160223,0.00009424506,0.0004031073,0.0001345311,0.00001364182,0.0001602897,0.997422,0.00008948133,0.001366689],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8236825,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0167830512457745,"score_gpt":0.4215725479204026,"score_spread":0.404789496674628,"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."}}