{"id":"W4249706663","doi":"10.1515/iupac.83.0034","title":"Black Body","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Glossary; Photocatalysis; Chemical nomenclature; Compendium; Terminology; Chemistry; Nanotechnology; Catalysis; Materials science; Organic chemistry; History; Philosophy; Archaeology","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004685808,0.0004763584,0.0005401894,0.0001435415,0.00002938616,0.00002435933,0.0005883847,0.0006470149,0.00100098],"category_scores_gemma":[0.00041331,0.0003764941,0.000120329,0.0001631186,0.0002339769,0.00007215769,0.000146921,0.0006933574,0.00001229938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005742817,"about_ca_system_score_gemma":0.00002369797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004026751,"about_ca_topic_score_gemma":0.00003246392,"domain_scores_codex":[0.998221,0.000008185901,0.000356585,0.0003518753,0.0005506984,0.0005115969],"domain_scores_gemma":[0.9986803,0.00007628424,0.00007053871,0.0009439198,0.0001256336,0.0001033586],"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":[0.00001201272,0.0000230105,3.619627e-7,0.0001612978,0.00006763962,0.00004597951,0.000001241391,0.00009423308,0.001763937,0.000006094543,0.9954593,0.002364883],"study_design_scores_gemma":[0.0003192102,0.00004044448,9.889626e-7,0.0002162046,0.00004020861,0.000006141883,0.000008425834,0.00003753019,0.008089327,0.000685232,0.9900569,0.0004993413],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002805687,0.0006622037,0.0005476578,0.0001483214,0.0004358147,0.0001538634,0.9962157,0.001439473,0.0001163768],"genre_scores_gemma":[0.0001095758,0.002941587,0.000133819,0.00004062055,0.0004822261,0.000009732291,0.9960297,0.00008334685,0.0001694432],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.006325391,"threshold_uncertainty_score":0.9999123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008728373289449321,"score_gpt":0.3445410873646099,"score_spread":0.3358127140751606,"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."}}