{"id":"W3116694074","doi":"10.1088/1361-6501/abac89","title":"Special Section on TEMPMEKO 2019: a feature on the XIV International Symposium on Temperature and Thermal Measurements in Industry and Science &amp; IV International Temperature Conference, Beijing (TEMPMEKO &amp; TEMPBEIJING 2019) and Metrology for Meteorology and Climate (MMC 2019)","year":2020,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Calibration and Measurement Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Beijing; Section (typography); Ampere; Engineering physics; Physics; China; Political science; Computer science; Thermodynamics; Law; Current (fluid)","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":[0.001934461,0.001884802,0.001771446,0.001995057,0.001684603,0.004004247,0.00173117,0.005112063,0.1609653],"category_scores_gemma":[0.002727743,0.0006065189,0.001063952,0.001110353,0.0008262746,0.002260707,0.001685885,0.003854999,0.1109127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001433942,"about_ca_system_score_gemma":0.002431404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002025519,"about_ca_topic_score_gemma":0.00786468,"domain_scores_codex":[0.9984921,0.0001308928,0.00008172147,0.0001960944,0.000896572,0.0002025943],"domain_scores_gemma":[0.9936206,0.0006510523,0.0003185734,0.0003222027,0.003646546,0.001440965],"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":[0.00005056156,0.00002381931,0.00007119675,0.00006124791,0.000002575419,0.00005277403,0.000003534126,0.00002798299,0.0006239573,0.0003006169,0.9873254,0.01145627],"study_design_scores_gemma":[0.00001357552,0.00006715157,0.001175932,0.00005712254,0.000004521426,0.0001013068,0.00001468707,0.0001413505,0.0003966138,0.0003459577,0.9976696,0.00001222381],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.001201123,0.008727104,0.004022485,0.03681207,0.6920779,0.00050262,0.001775552,0.001781255,0.2531],"genre_scores_gemma":[0.003718494,0.003602124,0.001111059,0.007265479,0.1956269,0.0001533492,0.001656194,0.0009251227,0.7859413],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1609653,"threshold_uncertainty_score":0.5384825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03894697451482905,"score_gpt":0.2585346107784915,"score_spread":0.2195876362636625,"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."}}