{"id":"W4229993775","doi":"10.1515/iupac.87.0657","title":"Temperature Sensitivity","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Immunotoxicology and immune responses","field":"Immunology and Microbiology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Multiple chemical sensitivity; Relation (database); Chemical nomenclature; Computer science; Psychology; Chemistry; Linguistics; Psychiatry; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001167468,0.0007260573,0.001117962,0.0003284637,0.0004497285,0.00003612066,0.0004622695,0.002473147,0.009680088],"category_scores_gemma":[0.00142585,0.0005242197,0.0003548344,0.0001806749,0.0007937357,0.000114912,0.0003429673,0.001808405,0.0001092994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003105585,"about_ca_system_score_gemma":0.001211906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009038833,"about_ca_topic_score_gemma":0.0002995642,"domain_scores_codex":[0.9964302,0.001254836,0.0005862857,0.0007192314,0.000163439,0.0008460759],"domain_scores_gemma":[0.997289,0.0005916283,0.0003452732,0.00125932,0.0004720254,0.00004274238],"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":[0.001565439,0.0003473575,0.000005433363,0.00006023988,0.0006406274,0.000187155,0.00001157667,1.429425e-7,0.06121482,0.000008621522,0.9339886,0.001969936],"study_design_scores_gemma":[0.001917779,0.0004118016,0.0002002949,0.000351687,0.0002015095,0.0005847416,0.00002502735,2.642291e-8,0.01251963,0.00002532953,0.9831165,0.0006456386],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002834604,0.00998694,0.000007444634,0.0008090825,0.004056288,0.0004017015,0.9817252,0.0001410023,0.00003774299],"genre_scores_gemma":[0.0006051608,0.001805459,0.000003944283,0.0006778888,0.0002987066,0.00002378754,0.9895836,0.0000477052,0.00695381],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04912788,"threshold_uncertainty_score":0.9997209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008267432716348014,"score_gpt":0.3521961440184941,"score_spread":0.3439287113021461,"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."}}