{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006369223,0.0001693437,0.0001964345,0.0001466551,0.00003407435,0.00003606822,0.0003565386,0.00008440709,0.00004664907],"category_scores_gemma":[0.0002312767,0.0001516454,0.00003262038,0.0001937244,0.000105546,0.0001368699,0.0001280812,0.0004132407,0.0003791495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005936097,"about_ca_system_score_gemma":0.000009823815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003058622,"about_ca_topic_score_gemma":3.431599e-7,"domain_scores_codex":[0.9991558,0.00001766172,0.0002000113,0.0002203208,0.0001314817,0.0002747117],"domain_scores_gemma":[0.9992225,0.000367932,0.00002195011,0.0003152555,0.00002338104,0.00004900267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001293095,0.0003080159,0.002552346,0.0009013351,0.0002870599,0.0000982884,0.004734309,0.06492872,0.6235198,0.01143299,0.0164353,0.2746725],"study_design_scores_gemma":[0.0006272167,0.0005803138,0.0004590765,0.001523192,0.00002675274,0.0002258377,0.002265449,0.2628078,0.408639,0.02483911,0.2962054,0.001800883],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.385912,0.00108109,0.6010653,0.00001983146,0.000606122,0.0003593252,0.00009770278,0.004571081,0.006287457],"genre_scores_gemma":[0.9732972,0.0002570892,0.02611272,0.000006812465,0.00010378,0.00002979818,0.0000330468,0.00004298077,0.0001166155],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5873851,"threshold_uncertainty_score":0.6183918,"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."}}