{"id":"W4256264135","doi":"10.1515/iupac.87.0153","title":"Conditioning, Classical","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; Relation (database); Chemical nomenclature; Computer science; Management science; Psychology; Chemistry; Linguistics; Engineering; 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":[0.001562744,0.001600672,0.001135061,0.003953018,0.001290489,0.004038716,0.002614459,0.001565406,0.2025677],"category_scores_gemma":[0.02153854,0.0006007834,0.002130763,0.006708742,0.0007774401,0.004610362,0.002567008,0.002294792,0.1380497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001580796,"about_ca_system_score_gemma":0.003369705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02041312,"about_ca_topic_score_gemma":0.03218539,"domain_scores_codex":[0.9975095,0.000439568,0.0005122644,0.0007842569,0.000490016,0.0002643478],"domain_scores_gemma":[0.9936039,0.002459493,0.0006855761,0.001595901,0.001381711,0.0002734341],"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":[0.0002540249,0.00003556635,0.003153486,0.001684546,0.00006338158,0.00003492491,0.00005241809,0.0003652447,0.00009737615,0.00322896,0.9704039,0.02062618],"study_design_scores_gemma":[0.0001569397,0.00002413442,0.004527965,0.0006373079,0.00003699614,0.00008463092,0.0001225486,0.0003495812,0.0001817336,0.005806389,0.9880385,0.00003341931],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006591548,0.0005211487,0.0009072861,0.0003111007,0.0001944473,0.00009140389,0.9872851,0.00108822,0.008942099],"genre_scores_gemma":[0.002987694,0.0006248923,0.002116708,0.0004828614,0.00006957479,0.0003896345,0.9864028,0.0004546633,0.006471121],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2025677,"threshold_uncertainty_score":0.6776565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01150118970223356,"score_gpt":0.3734725139691221,"score_spread":0.3619713242668886,"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."}}