{"id":"W4312969691","doi":"10.1109/access.2022.3225976","title":"Simulating Floating Head Pressure Control With Artificial Intelligence","year":2022,"lang":"en","type":"article","venue":"IEEE Access","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Police Service","funders":"","keywords":"Chiller; Computer science; Refrigeration; Energy consumption; Water chiller; Work (physics); Pressure head; Pressure control; Simulation; Mechanical engineering; Engineering; Gas compressor","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":[0.0004729186,0.0006952838,0.0004243754,0.0004844197,0.0002832418,0.0008903001,0.001032812,0.001149466,0.002072777],"category_scores_gemma":[0.002528082,0.0002721655,0.000572477,0.0004132745,0.0008021264,0.0007562728,0.0004939309,0.0008770775,0.0002093167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006620151,"about_ca_system_score_gemma":0.000553444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01012256,"about_ca_topic_score_gemma":0.003452312,"domain_scores_codex":[0.9996717,0.00008251244,0.00002139604,0.00007515093,0.00009918087,0.00005003363],"domain_scores_gemma":[0.9987072,0.0008731266,0.0001172672,0.00009720985,0.0001730439,0.00003216801],"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":[0.00001717692,0.00002269227,0.000359299,0.00001868543,0.000005300119,0.00002089938,0.00001795007,0.9956685,0.0005436449,0.001001578,0.00006450091,0.002259704],"study_design_scores_gemma":[0.000002276007,0.00001015393,0.00008077727,0.000001385051,0.000001494897,0.000002830492,0.000002663245,0.9990915,0.0003248405,0.0003553836,0.0001249976,0.000001680208],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.408583,0.0004360848,0.5741274,0.0004369878,0.000204976,0.0002016994,0.0004326944,0.001292574,0.01428467],"genre_scores_gemma":[0.9541884,0.0001269834,0.04309783,0.00005428278,0.00002021638,0.0001221464,0.0001905537,0.00003465451,0.002164835],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01012256,"threshold_uncertainty_score":0.0201273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02595885772434189,"score_gpt":0.2648061154940781,"score_spread":0.2388472577697362,"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."}}