{"id":"W4243370786","doi":"10.1515/iupac.68.0066","title":"Energized Species","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"thermodynamics and calorimetric analyses","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Glossary; Terminology; Field (mathematics); Computer science; Linguistics; Philosophy; Mathematics","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":[0.0002162918,0.0005191455,0.0008054216,0.0002249918,0.0001055758,0.00008049289,0.0007229676,0.0005290449,0.0518466],"category_scores_gemma":[0.0004156546,0.0003740803,0.0003860882,0.0002390273,0.000169377,0.00004901226,0.0002277722,0.0004539612,0.000004317358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005121516,"about_ca_system_score_gemma":0.0005030397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000183856,"about_ca_topic_score_gemma":0.0002963135,"domain_scores_codex":[0.9973019,0.00002388771,0.000505279,0.0005629483,0.001142801,0.0004631783],"domain_scores_gemma":[0.9978724,0.0001436518,0.0003405156,0.001108944,0.0003475898,0.0001868962],"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":[0.0001182439,0.0001397304,0.000003335071,0.0001199652,0.0002954161,0.0000696975,0.00000222963,9.290944e-7,0.0005229494,0.00005124938,0.9955363,0.003140001],"study_design_scores_gemma":[0.0008693171,0.00002904737,0.000002714037,0.0002058616,0.0002535146,0.000007479572,0.00002413018,0.00001217629,0.0002863385,0.0002111288,0.9975827,0.0005155628],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001846924,0.001456867,0.0002106736,0.0001467473,0.0003811077,0.00003921235,0.9959059,0.00009149125,0.001583284],"genre_scores_gemma":[0.00009047695,0.00350388,0.00001771574,0.00008098256,0.001908311,0.000007838797,0.9807555,0.00005531109,0.01357996],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05184229,"threshold_uncertainty_score":0.9998711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01393053496405375,"score_gpt":0.3642383304715014,"score_spread":0.3503077955074476,"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."}}