{"id":"W2727791726","doi":"","title":"Successive Steady State Hydraulic Model Tuning Through Viscosity Analysis","year":2014,"lang":"en","type":"article","venue":"PSIG Annual Meeting","topic":"Hydraulic and Pneumatic Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"TransCanada (Canada)","funders":"","keywords":"Steady state (chemistry); Viscosity; Control theory (sociology); State (computer science); Environmental science; Mathematics; Computer science; Thermodynamics; Physics; Control (management); Chemistry; Algorithm","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007734531,0.0006296838,0.0006671075,0.0006253488,0.0006276754,0.001176541,0.0006785932,0.000763469,0.004968309],"category_scores_gemma":[0.003186754,0.0006327619,0.0006286333,0.0002403542,0.0004612328,0.001307842,0.001747659,0.001133325,0.001013427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000405725,"about_ca_system_score_gemma":0.0006091578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001579792,"about_ca_topic_score_gemma":0.002097214,"domain_scores_codex":[0.9996516,0.00006989594,0.00002419216,0.00006827211,0.0001330994,0.00005300386],"domain_scores_gemma":[0.998982,0.0004990569,0.00007317397,0.0002454807,0.0001651272,0.00003507345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000474396,0.0002833675,0.001456937,0.0002359349,0.0001114615,0.0001972715,0.0003661198,0.7037429,0.0783823,0.01873793,0.00254273,0.1934686],"study_design_scores_gemma":[0.000008541057,0.00003043429,0.0001729061,0.000004532031,0.000006640184,0.00001546229,0.00001216945,0.989321,0.007323618,0.002287975,0.0008065373,0.0000102126],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04464005,0.00005265438,0.9454274,0.00009587671,0.00006255702,0.00004432464,0.00004438263,0.002149643,0.007483051],"genre_scores_gemma":[0.8895562,0.00003854572,0.1065334,0.0000600602,0.00001485237,0.00007366665,0.00008472578,0.0004380457,0.003200576],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004968309,"threshold_uncertainty_score":0.0166207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01230340829523647,"score_gpt":0.2360015981087001,"score_spread":0.2236981898134636,"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."}}