{"id":"W2770072720","doi":"10.1080/19315775.2010.11721538","title":"AC Shunt Calibrations at NRC","year":2010,"lang":"en","type":"article","venue":"NCSLI Measure","topic":"Scientific Measurement and Uncertainty Evaluation","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Environmental science","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":["metaresearch","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0139396,0.0001587657,0.0002053045,0.0002522719,0.0005893927,0.0004610614,0.0008472393,0.0001547296,0.01313073],"category_scores_gemma":[0.01321888,0.0001126006,0.0001516619,0.0009376176,0.0001378237,0.0004604572,0.0001045765,0.000275327,0.004200359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009361748,"about_ca_system_score_gemma":0.0003017785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002617808,"about_ca_topic_score_gemma":0.003585805,"domain_scores_codex":[0.9919749,0.0002550513,0.000574955,0.0006383304,0.00623459,0.0003221146],"domain_scores_gemma":[0.9961995,0.0004294924,0.0002130561,0.001100038,0.001832934,0.0002249448],"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":[0.00004237873,0.00009814752,0.03049313,0.000002267892,0.00001885521,0.000002676351,0.001278384,0.0001336642,0.3420874,0.007739092,0.5699531,0.04815081],"study_design_scores_gemma":[0.0009525677,0.00005687634,0.05702884,0.00001427117,0.00004599577,0.00001500902,0.0005243234,0.009757661,0.0298804,0.02718198,0.8740689,0.0004731657],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8006083,0.0001059609,0.005224011,0.008054913,0.008596272,0.0006364775,0.00003377755,0.0001914326,0.1765489],"genre_scores_gemma":[0.9717842,8.273577e-7,0.0009219073,0.0003447643,0.0003616033,0.00002527418,0.00001390802,0.00001209362,0.02653541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.312207,"threshold_uncertainty_score":0.996575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2576381091514771,"score_gpt":0.4107089637573804,"score_spread":0.1530708546059033,"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."}}