{"id":"W2007497653","doi":"10.1088/0026-1394/40/5/304","title":"ITS-90: the instability of the Al point","year":2003,"lang":"en","type":"article","venue":"Metrologia","topic":"Calibration and Measurement Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Triple point; Quartz; Instability; Point (geometry); Materials science; Mechanics; Thermodynamics; Analytical Chemistry (journal); Chemistry; Physics; Mathematics; Composite material; Chromatography; Geometry","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":[0.001479039,0.0005352321,0.0006006918,0.001325852,0.000933872,0.002468341,0.001134222,0.001453012,0.01009242],"category_scores_gemma":[0.003144423,0.0002409843,0.0005391501,0.001715714,0.0007361837,0.00139322,0.001181688,0.001372469,0.003867809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008815373,"about_ca_system_score_gemma":0.0006468765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002083828,"about_ca_topic_score_gemma":0.001710714,"domain_scores_codex":[0.9986196,0.0001334399,0.00005405891,0.0001864446,0.0009159421,0.00009056255],"domain_scores_gemma":[0.9983858,0.0002694616,0.0001312652,0.0003287703,0.0007703931,0.0001143789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00580554,0.0001609135,0.03703051,0.0009531342,0.0002055326,0.001417077,0.001241316,0.02139325,0.2302356,0.05282313,0.1062545,0.5424794],"study_design_scores_gemma":[0.0003590712,0.001403245,0.06318923,0.0003371435,0.0004435007,0.003646665,0.00082293,0.1795463,0.4567992,0.02958115,0.2635098,0.0003617394],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3381673,0.003361746,0.3204643,0.004465048,0.004650288,0.0002347515,0.007594087,0.01615905,0.3049034],"genre_scores_gemma":[0.9406052,0.0002711415,0.02680966,0.0003935856,0.0002980242,0.00003662361,0.003216943,0.001278928,0.02708981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01009242,"threshold_uncertainty_score":0.03376245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02060663058597071,"score_gpt":0.21641335071675,"score_spread":0.1958067201307793,"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."}}