{"id":"W4234564634","doi":"10.1515/iupac.87.0154","title":"Conditioning, Operant","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; Psychology; Computer science; Chemistry; Linguistics; Philosophy; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006955622,0.0006078187,0.0009656539,0.0003490492,0.000493291,0.00003634439,0.0007633636,0.001529057,0.04562794],"category_scores_gemma":[0.0009209799,0.0004470745,0.0002984829,0.0001358677,0.0008955779,0.000119154,0.0002909336,0.00115604,0.0002079575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000295994,"about_ca_system_score_gemma":0.00117291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001002552,"about_ca_topic_score_gemma":0.0001173806,"domain_scores_codex":[0.9971543,0.000612003,0.0006924303,0.0006168298,0.0001483224,0.0007761221],"domain_scores_gemma":[0.9977996,0.0003521028,0.0003641022,0.001043269,0.0004021127,0.00003885014],"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":[0.001085119,0.0003343907,0.00000516374,0.00004826723,0.0007011024,0.00007101088,0.00001673131,1.80379e-7,0.00720169,0.00003103825,0.9888407,0.001664582],"study_design_scores_gemma":[0.002812527,0.0006069559,0.0001041335,0.0003996059,0.0002113372,0.0003200465,0.00003347516,3.467424e-8,0.005269204,0.00005717967,0.9895985,0.0005870054],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009049847,0.0139207,0.00003279219,0.0005676205,0.003813203,0.0004076468,0.9801432,0.0001212923,0.00008854542],"genre_scores_gemma":[0.0002450029,0.002298735,0.000004989924,0.0006502512,0.0002030841,0.00005545919,0.9867129,0.00004427773,0.009785314],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04541998,"threshold_uncertainty_score":0.9997981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01074538778779732,"score_gpt":0.3725494526607309,"score_spread":0.3618040648729335,"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."}}