{"id":"W3154431816","doi":"10.3390/jmse9040398","title":"Metrological Evaluation of Deep-Ocean Thermometers","year":2021,"lang":"en","type":"article","venue":"Journal of Marine Science and Engineering","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"European Commission","keywords":"Calibration; Thermometer; Metrology; Environmental science; Thermodynamic temperature; Triple point; International Temperature Scale of 1990; Nuclear engineering; Pressure measurement; Temperature measurement; High pressure; Materials science; Analytical Chemistry (journal); Remote sensing; Physics; Meteorology; Chemistry; Thermodynamics; Optics; Geology; Engineering; Chromatography","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":[],"consensus_categories":[],"category_scores_codex":[0.002300817,0.00003966531,0.00009453059,0.00009753285,0.0000343551,0.00002800318,0.00009448767,0.00001157613,0.0001215654],"category_scores_gemma":[0.0003810326,0.00002880284,0.00002638844,0.0003441066,0.0000418473,0.0001956681,0.00001880206,0.00006469852,7.099517e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005484934,"about_ca_system_score_gemma":0.0000803119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000199883,"about_ca_topic_score_gemma":0.000008651927,"domain_scores_codex":[0.9989359,0.00001747804,0.0001407572,0.00006336584,0.0007433756,0.00009914275],"domain_scores_gemma":[0.9993116,0.00002855294,0.00006983996,0.00004838229,0.0004747931,0.00006679419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00001425409,0.00002945604,0.2988811,0.00002403066,0.0000354551,0.0000148314,0.0001367284,0.07197651,0.02954629,0.0000744532,0.000009515251,0.5992573],"study_design_scores_gemma":[0.0001702216,0.00008608476,0.93878,0.000007786669,0.00002464462,0.00003505427,0.00005351265,0.05834445,0.001817669,0.0005979982,0.00004431298,0.00003828591],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985315,0.00016298,0.000140166,0.00005821228,0.0001836005,0.00001632327,5.69892e-7,0.000001325296,0.0009053877],"genre_scores_gemma":[0.9984744,0.0000217697,0.001451163,0.00001580185,0.0000330732,2.209959e-8,6.270224e-7,5.783218e-7,0.000002535274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6398988,"threshold_uncertainty_score":0.1331056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02742240785194577,"score_gpt":0.2234441891812028,"score_spread":0.1960217813292571,"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."}}