{"id":"W4285164430","doi":"10.1088/0026-1394/59/1a/02002","title":"Final report on the CCPR Key Comparison CCPR-K3.2014 Luminous Intensity","year":2022,"lang":"en","type":"article","venue":"Metrologia","topic":"Calibration and Measurement Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Mutual recognition; NIST; Metrology; Photometry (optics); Environmental science; Mathematics; Library science; Computer science; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02483359,0.001264329,0.001006939,0.004558742,0.00444261,0.007812561,0.004518503,0.005597434,0.1201527],"category_scores_gemma":[0.04189213,0.0007805958,0.001901343,0.003677541,0.001453922,0.00401196,0.005345121,0.004470828,0.07740829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009518034,"about_ca_system_score_gemma":0.03074604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0599064,"about_ca_topic_score_gemma":0.02962011,"domain_scores_codex":[0.9691303,0.003437872,0.001204954,0.002188833,0.02100996,0.003028093],"domain_scores_gemma":[0.9384357,0.003898184,0.001769037,0.004720787,0.04796983,0.003206554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006574432,0.0001904024,0.001524086,0.0007664232,0.00003652788,0.0002278112,0.0003080155,0.000592841,0.004615081,0.02028347,0.9234821,0.04731581],"study_design_scores_gemma":[0.00006203679,0.0002056175,0.009908201,0.0002579264,0.00002382559,0.00009376651,0.0002905232,0.0001634837,0.003886377,0.002384747,0.9826545,0.00006900483],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01443219,0.003272919,0.02729371,0.02214991,0.02528439,0.01730361,0.1534337,0.004433315,0.7323962],"genre_scores_gemma":[0.07811192,0.002655142,0.05000971,0.01674759,0.003175208,0.01883861,0.1302251,0.005384619,0.6948521],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1201527,"threshold_uncertainty_score":0.4019508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05738355456313633,"score_gpt":0.2529225310111686,"score_spread":0.1955389764480323,"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."}}