{"id":"W4253018524","doi":"10.1515/iupac.83.0081","title":"Fermi Energy","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Cold Fusion and Nuclear Reactions","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Glossary; Chemical nomenclature; Photocatalysis; Compendium; Terminology; Chemistry; Nanotechnology; Materials science; Catalysis; Organic chemistry; History; Philosophy","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":[0.0007000983,0.002004702,0.001604599,0.004518853,0.000955051,0.003207306,0.00237073,0.001295552,0.1126142],"category_scores_gemma":[0.004881994,0.0005394511,0.001406366,0.007818422,0.0003137735,0.002543613,0.002138188,0.002030488,0.2440143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001242161,"about_ca_system_score_gemma":0.001970062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01584953,"about_ca_topic_score_gemma":0.02366463,"domain_scores_codex":[0.9990039,0.0001433539,0.0001408097,0.0003026877,0.0002716441,0.0001375835],"domain_scores_gemma":[0.9987426,0.0002437855,0.0001170851,0.0003893724,0.000399791,0.0001073431],"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":[0.00008306326,0.00001550662,0.0007934729,0.0007304735,0.00002932555,0.00002463068,0.00002278448,0.0002325396,0.0001096302,0.001197197,0.9892846,0.007476802],"study_design_scores_gemma":[0.00007329822,0.00001020183,0.001579987,0.0002822511,0.000015895,0.0000428421,0.00004654153,0.0001893869,0.0001710686,0.001899229,0.9956749,0.00001437032],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000121721,0.0001447468,0.0001102035,0.00006592177,0.00003137892,0.0000103288,0.9965338,0.0006044619,0.002377402],"genre_scores_gemma":[0.0002877253,0.0001565656,0.0002843475,0.00005153226,0.000008344287,0.00004072982,0.9976169,0.0001298745,0.00142409],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1126142,"threshold_uncertainty_score":0.376732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0127915029496092,"score_gpt":0.335760718919546,"score_spread":0.3229692159699368,"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."}}