{"id":"W4248048552","doi":"10.1515/iupac.84.0257","title":"Anamnestic","year":2016,"lang":"sv","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Immunotoxicology; Medicine; Immunology; Immune system; Philosophy; Linguistics","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":[0.001072715,0.001281336,0.001360153,0.002816029,0.0009121838,0.001993491,0.001666565,0.001460549,0.07649488],"category_scores_gemma":[0.009828093,0.0004000781,0.00130036,0.0033034,0.0002832715,0.001528891,0.001313743,0.002113677,0.05131394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001328776,"about_ca_system_score_gemma":0.002289188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01674336,"about_ca_topic_score_gemma":0.02574959,"domain_scores_codex":[0.9985274,0.0002078216,0.0003877571,0.0003946253,0.0002788534,0.0002034047],"domain_scores_gemma":[0.9963449,0.0006003933,0.0008797614,0.0006570076,0.001235233,0.0002826922],"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":[0.001840809,0.0001971411,0.05329126,0.002902587,0.0002643187,0.0004700845,0.0001058164,0.0003245184,0.0003316608,0.001257728,0.8832477,0.05576633],"study_design_scores_gemma":[0.001104797,0.000261027,0.09578527,0.003551858,0.0003825211,0.002905015,0.0005162858,0.0007172168,0.0007232482,0.005461205,0.8884673,0.0001242283],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.008861654,0.003341201,0.001015233,0.001115681,0.0004095491,0.0005632584,0.9559988,0.0006338879,0.02806084],"genre_scores_gemma":[0.03458058,0.004435958,0.003490565,0.002615888,0.0004216018,0.001560074,0.9274721,0.0002309097,0.02519222],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9235051,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01639332749606339,"score_gpt":0.4229019277034652,"score_spread":0.4065086002074019,"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."}}