{"id":"W2900150441","doi":"10.1088/1681-7575/aaee3a","title":"Comparison of xenon triple point realizations","year":2018,"lang":"en","type":"article","venue":"Metrologia","topic":"Calibration and Measurement Techniques","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Triple point; Xenon; Mercury (programming language); International Temperature Scale of 1990; Physics; Uniqueness; Computer science; Mathematics; Fixed point; Thermodynamics; Atomic physics; Mathematical analysis","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001294866,0.00004702282,0.0001071477,0.00008170404,0.00002035964,0.000006021058,0.00006052824,0.00004585892,0.0002181006],"category_scores_gemma":[0.00004752638,0.00004347092,0.00002399904,0.0001660256,0.00003166419,0.00003984166,0.000008604268,0.00004070054,0.00001549879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001796813,"about_ca_system_score_gemma":0.000004356319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007507171,"about_ca_topic_score_gemma":0.00002508596,"domain_scores_codex":[0.9996223,0.00001588961,0.0001572053,0.00005243003,0.00007643181,0.00007575635],"domain_scores_gemma":[0.9997793,0.000009774498,0.00002308668,0.0001208412,0.0000460122,0.00002099808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000382925,0.0001883311,0.04822173,0.00007257418,0.00008636861,6.362838e-7,0.0008161013,0.001011821,0.5635942,0.02943468,0.3442092,0.01232604],"study_design_scores_gemma":[0.000245862,0.0002641684,0.008648269,0.000008866392,0.00001755858,5.995635e-7,0.00005434625,0.03423084,0.8923802,0.0004421587,0.06359456,0.0001125203],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1572579,0.0002557251,0.7538514,0.0001826917,0.000540129,0.0002636029,0.00001288635,0.001511344,0.08612438],"genre_scores_gemma":[0.9959083,0.000007624413,0.003898176,0.00004182092,0.00003937267,0.000007496689,0.000009355604,0.000007536208,0.00008034804],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8386504,"threshold_uncertainty_score":0.2388048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04773893710766332,"score_gpt":0.3155996765147201,"score_spread":0.2678607394070568,"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."}}