{"id":"W2509440979","doi":"10.1109/cpem.2016.7540538","title":"Noise reductions in the NRC watt balance","year":2016,"lang":"en","type":"article","venue":"","topic":"Scientific Measurement and Uncertainty Evaluation","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Watt; Balance (ability); Planck constant; Reduction (mathematics); Noise (video); Electrical engineering; Flux (metallurgy); Environmental science; Physics; Power (physics); Engineering; Computer science; Mathematics; Materials science; Thermodynamics; Quantum mechanics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0150123,0.00005206462,0.00007118993,0.00014137,0.0001174962,0.0001550886,0.0006338562,0.0000226061,0.004259311],"category_scores_gemma":[0.005873824,0.00001840031,0.00004377772,0.0007986443,0.00008111179,0.0002824044,0.00002423139,0.00003538008,0.001945945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004819668,"about_ca_system_score_gemma":0.00006658053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002574939,"about_ca_topic_score_gemma":0.0002932242,"domain_scores_codex":[0.9964479,0.0002778139,0.0003126063,0.000287095,0.002521257,0.0001533321],"domain_scores_gemma":[0.998205,0.0007409732,0.00006532649,0.0005556201,0.000403065,0.00003000805],"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":[0.00001854305,0.00007855902,0.03196168,3.9402e-7,0.000002972166,9.654747e-7,0.001254145,0.00004791343,0.03283061,0.01599344,0.7723286,0.1454822],"study_design_scores_gemma":[0.001325481,0.00006057022,0.2595039,0.00003389559,0.00001076468,0.000009829854,0.005195728,0.003190268,0.005931484,0.2423018,0.4821568,0.0002794343],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5997002,0.00005739674,0.01821825,0.1028031,0.002703079,0.0005025294,0.000005206213,0.00005134497,0.2759589],"genre_scores_gemma":[0.965668,0.000003239091,0.000214719,0.0003210708,0.00008412554,0.00001626303,3.713741e-7,0.000001578445,0.03369068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3659678,"threshold_uncertainty_score":0.9988312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3859042513588612,"score_gpt":0.443649615012227,"score_spread":0.0577453636533658,"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."}}