{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001352968,0.002193965,0.001532191,0.004644332,0.00106039,0.003675935,0.002958049,0.001933724,0.2466615],"category_scores_gemma":[0.01067151,0.0006984493,0.001864544,0.007465507,0.0004337506,0.003407007,0.003060687,0.001952213,0.4034653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001199459,"about_ca_system_score_gemma":0.002966901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01124378,"about_ca_topic_score_gemma":0.02178213,"domain_scores_codex":[0.9981838,0.0002940104,0.0002638264,0.0006401532,0.0003840193,0.0002342476],"domain_scores_gemma":[0.9964316,0.0009447573,0.0003198863,0.00101016,0.001014004,0.0002795734],"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":[0.00006485239,0.00001203134,0.0005326687,0.0007739938,0.00002526866,0.00001430502,0.00001600113,0.0001150919,0.00007760216,0.0005701554,0.9918675,0.005930669],"study_design_scores_gemma":[0.00007356683,0.00001256056,0.001489122,0.0003684986,0.0000198849,0.00004236211,0.00004577108,0.0001503826,0.0001589097,0.001520271,0.996101,0.00001770266],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008954867,0.0001759328,0.0001978726,0.0001188989,0.00006412229,0.0000267902,0.9952393,0.0009225038,0.003165116],"genre_scores_gemma":[0.0003063008,0.0001550851,0.0005216574,0.0001563817,0.00001833925,0.0001158862,0.9961056,0.0002366663,0.00238407],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2466615,"threshold_uncertainty_score":0,"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."}}