{"id":"W4248554128","doi":"10.1515/iupac.79.1198","title":"Emission","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"History and advancements in chemistry","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Toxicology; Chemistry; Philosophy; Biology; Linguistics; 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":[0.0012576,0.002376413,0.001398201,0.003021338,0.0009903744,0.003243544,0.003060235,0.001876873,0.1239229],"category_scores_gemma":[0.007008298,0.0005645563,0.00221578,0.004471412,0.0003769741,0.002561915,0.002263615,0.001829348,0.2032461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001547462,"about_ca_system_score_gemma":0.002320404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01718516,"about_ca_topic_score_gemma":0.03351693,"domain_scores_codex":[0.9981045,0.000292653,0.00022957,0.0007383486,0.0004247778,0.0002102915],"domain_scores_gemma":[0.9975644,0.0005272318,0.0002098613,0.0007249012,0.0007851713,0.0001883103],"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":[0.0001250814,0.00002810612,0.001543011,0.0007650266,0.00004398586,0.00002412908,0.00002107462,0.0003471285,0.0001251797,0.0008711381,0.9871831,0.008923053],"study_design_scores_gemma":[0.0001344993,0.00001983284,0.003071854,0.0003439386,0.0000336958,0.000065243,0.00007107847,0.0004359494,0.0002893737,0.001890646,0.9936168,0.00002706849],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001762145,0.0001491441,0.0001847911,0.0001047921,0.00005883355,0.00002450298,0.9965258,0.0006072171,0.002168677],"genre_scores_gemma":[0.0003680677,0.00009382974,0.0004071033,0.0001083668,0.00001178317,0.000078938,0.997497,0.00008013782,0.00135474],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1239229,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01303319896136528,"score_gpt":0.3943168948314721,"score_spread":0.3812836958701069,"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."}}