{"id":"W2972891280","doi":"","title":"Analysis and Output Tracking Design for the Direct Contact Membrane distillation system","year":2019,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Control theory (sociology); Controller (irrigation); Observability; Servomechanism; Tracking (education); Mathematics; Controllability; Boundary (topology); Observer (physics); Uniqueness; State observer; Operator (biology); Applied mathematics; Computer science; Mathematical analysis; Engineering; Control engineering; Control (management); Physics; Nonlinear system","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002923853,0.0002640033,0.0004945557,0.0002296968,0.0001176547,0.0000809206,0.0002245671,0.0002053429,0.000001947135],"category_scores_gemma":[0.00004051488,0.0002484962,0.0002087497,0.0003536605,0.00001938035,0.000162785,0.00006967773,0.0001788849,0.000004085179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003162655,"about_ca_system_score_gemma":0.00002032763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000640506,"about_ca_topic_score_gemma":0.00003912175,"domain_scores_codex":[0.9989728,0.00009207718,0.0002137696,0.000462348,0.00005593924,0.0002030551],"domain_scores_gemma":[0.9985139,0.0006383434,0.0001790636,0.0005002745,0.0001148923,0.00005351429],"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":[0.00004504649,0.000002831816,0.001587132,0.0003322451,0.001095428,0.000004236734,0.00007582991,0.9954363,0.0000416416,0.001026716,0.000005937012,0.0003467022],"study_design_scores_gemma":[0.0004555119,0.00001251006,0.001532563,0.00009355039,0.001854603,8.30329e-7,0.0001177201,0.9954858,0.00006051758,0.00005608506,0.00006995045,0.0002604015],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01339772,0.0003811828,0.9836219,0.000005622596,0.000417578,0.001227669,0.00005655192,0.0003287406,0.0005630353],"genre_scores_gemma":[0.998858,0.0001586201,0.0005006637,0.000002811373,0.00007554046,0.000007688847,0.00004458716,0.00004303996,0.0003090671],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9854603,"threshold_uncertainty_score":0.9999967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0460402663176906,"score_gpt":0.1725989138625949,"score_spread":0.1265586475449043,"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."}}