{"id":"W2996462410","doi":"10.32370/ia_2019_12_8","title":"Technological Vessels Online Monitoring Systems","year":2019,"lang":"en","type":"article","venue":"Intellectual Archive","topic":"Advanced Data Processing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Process (computing); Volume (thermodynamics); Mechanical engineering; Computer science; Process control; Dead time; Process engineering; Work in process; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007283207,0.0008333744,0.0006012262,0.001888922,0.0006587266,0.002460804,0.001511649,0.001243918,0.01985983],"category_scores_gemma":[0.001816295,0.0003358425,0.0003257565,0.001429211,0.000350246,0.002398717,0.001451371,0.0008360059,0.009959543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000591181,"about_ca_system_score_gemma":0.0005770117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008606997,"about_ca_topic_score_gemma":0.0004846781,"domain_scores_codex":[0.9987448,0.0001440897,0.00007197016,0.0003588068,0.0005840787,0.00009620491],"domain_scores_gemma":[0.9986786,0.0002596018,0.0001901332,0.0003497738,0.0004468303,0.00007509961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00079194,0.0002373102,0.004662093,0.0005006587,0.00005904835,0.0003603485,0.0003575224,0.007346662,0.06556308,0.01714696,0.04762569,0.8553488],"study_design_scores_gemma":[0.0001574702,0.0008911485,0.0125284,0.0002751763,0.0001832187,0.001529389,0.0002562571,0.2194728,0.1875394,0.01341132,0.5635625,0.0001929345],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06013171,0.003604903,0.7823014,0.001215691,0.001404188,0.0004700052,0.002942636,0.04687067,0.1010587],"genre_scores_gemma":[0.7203316,0.002661455,0.1633973,0.0008816436,0.001157901,0.0004984394,0.004876801,0.001130702,0.1050642],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01985983,"threshold_uncertainty_score":0.06643772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01795069706612683,"score_gpt":0.2507636525120018,"score_spread":0.232812955445875,"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."}}