{"id":"W1958306938","doi":"10.1080/07055900.2015.1074883","title":"Conversion of Pressure to Depth for Moored Instruments Using a Reference Bottom Mounted Pressure Sensor","year":2015,"lang":"en","type":"article","venue":"ATMOSPHERE-OCEAN","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pressure sensor; Geodesy; Displacement (psychology); Vertical displacement; Pressure measurement; Geology; Perturbation (astronomy); Acceleration; Observational error; Measuring instrument; Gravimeter; Acoustics; Marine engineering; Remote sensing; Meteorology; Mathematics; Physics; Engineering; Statistics; Geophysics; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003655046,0.000197843,0.0002893091,0.00001762265,0.0001112806,0.00007529394,0.0004285824,0.0001472354,0.0003582351],"category_scores_gemma":[0.00013652,0.0001692178,0.00005220443,0.0002737773,0.00008689268,0.0002539026,0.00006401494,0.0001748995,0.00005016794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001473486,"about_ca_system_score_gemma":0.0002214521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005490203,"about_ca_topic_score_gemma":0.0003313429,"domain_scores_codex":[0.9980384,0.0001043262,0.0003024265,0.0004028837,0.0006502124,0.0005017628],"domain_scores_gemma":[0.9986435,0.0001030802,0.0001156388,0.0003508412,0.0003787724,0.0004082009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0010832,0.00007659294,0.6796547,0.0003432577,0.0002454561,0.000009938321,0.001127494,0.3075436,0.001847084,0.00000908961,0.005304663,0.002754875],"study_design_scores_gemma":[0.001604679,0.0006260372,0.0158449,0.00006875552,0.0001342173,0.00001056259,0.0008094786,0.9588989,0.007257501,0.0001889281,0.01424202,0.0003140082],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916649,0.0001682307,0.005116513,0.00006765388,0.0001920219,0.000829285,0.0004605718,0.00005102649,0.001449731],"genre_scores_gemma":[0.9617438,0.000006366349,0.03599634,0.0000800421,0.00005772737,8.40748e-7,0.0001104237,0.00001336029,0.001991147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6638098,"threshold_uncertainty_score":0.8299581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05117269387303481,"score_gpt":0.2875249394846691,"score_spread":0.2363522456116343,"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."}}