{"id":"W2884690397","doi":"10.5194/amt-11-4059-2018","title":"Internal consistency of the Regional Brewer Calibration Centre for Europe triad during the period 2005–2016","year":2018,"lang":"en","type":"article","venue":"Atmospheric measurement techniques","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission; European Association of National Metrology Institutes","keywords":"Triad (sociology); Calibration; Consistency (knowledge bases); Term (time); Environmental science; Mathematics; Statistics; Physics; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000718311,0.0001736206,0.0001865136,0.000001664571,0.0003994543,0.00005274278,0.0004427828,0.00006164932,0.001239859],"category_scores_gemma":[0.0001126835,0.00009186833,0.0001367167,0.0002150862,0.0003118711,0.000158272,0.00003148656,0.000102457,0.00001647976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000197321,"about_ca_system_score_gemma":0.0001520402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006180162,"about_ca_topic_score_gemma":0.0009570919,"domain_scores_codex":[0.9983464,0.0001461816,0.0003971405,0.0002498974,0.0005492527,0.0003110813],"domain_scores_gemma":[0.9989246,0.00004765638,0.0002778791,0.0003687228,0.0003243718,0.00005673673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001764532,0.0003288218,0.6229753,0.0003498225,0.0005664432,0.000009911407,0.003178505,0.0001145802,0.01995989,0.001214687,0.2015578,0.1479796],"study_design_scores_gemma":[0.001779584,0.001018583,0.3602589,0.0006970336,0.0002602735,0.00008587842,0.001374351,0.008997149,0.05902702,0.001444258,0.5641289,0.0009281249],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8959733,0.004266458,0.02752147,0.01459514,0.002394855,0.005593852,0.0001352777,0.000796321,0.0487233],"genre_scores_gemma":[0.9879501,0.0001522026,0.008692555,0.0006030033,0.0003544195,0.00001499849,0.0000067275,0.00001277474,0.002213228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.362571,"threshold_uncertainty_score":0.9996731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0241550667585862,"score_gpt":0.2196826645818162,"score_spread":0.19552759782323,"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."}}