{"id":"W2801436600","doi":"10.1139/tcsme-2016-0068","title":"CALCULATION OF OIL TANK VOLUME AND REPORT GENERATION SYSTEM WITH TRIM AND LIST CORRECTIONS","year":2016,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Religion and Sociopolitical Dynamics in Nigeria","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Trim; Volume (thermodynamics); Correctness; Software; Calibration; Marine engineering; Oil tank; Storage tank; Oil supply; Environmental science; Computer science; Petroleum engineering; Engineering; Mechanical engineering; Structural engineering; Mathematics; Physics; Algorithm","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":[0.0002969074,0.00005736248,0.0001125995,0.00002365842,0.0003744891,0.00001516416,0.00005337345,0.0001160408,0.000004703523],"category_scores_gemma":[0.0000681067,0.00004122128,0.0001156094,0.0001211077,0.0001528766,0.00006303857,0.000002007669,0.00005895432,6.356144e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002922556,"about_ca_system_score_gemma":0.0002012138,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03216688,"about_ca_topic_score_gemma":0.06997765,"domain_scores_codex":[0.9994403,0.00001678035,0.0001703843,0.0001057383,0.0001227348,0.0001440455],"domain_scores_gemma":[0.9995183,0.00008023904,0.00004794695,0.0001002992,0.0001022518,0.0001509127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001589397,0.0000297523,0.0003259765,0.0003477021,0.000283102,0.000001260178,0.004128769,0.004200543,0.01348926,0.9691822,0.0002953322,0.007700229],"study_design_scores_gemma":[0.003265599,0.000375789,0.00170709,0.001255506,0.0008654733,0.0001086591,0.009152324,0.937704,0.00653592,0.002170736,0.03567392,0.001184957],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.147678,0.00008083229,0.8476397,0.003169408,0.0006350651,0.0002916307,0.000101897,0.00005051551,0.0003528988],"genre_scores_gemma":[0.9963949,0.00006077272,0.002512131,0.00001280403,0.00004540439,0.00001970841,0.000001345722,0.000008826876,0.0009441457],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9670115,"threshold_uncertainty_score":0.974278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01121007631675408,"score_gpt":0.2294080348573283,"score_spread":0.2181979585405742,"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."}}