{"id":"W3084388329","doi":"10.18280/jesa.530305","title":"Investigating the Multi-input Multi-output Air Conditioning Control Techniques","year":2020,"lang":"fr","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Refrigeration and Air Conditioning Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Conditioning; Air conditioning; Control (management); Computer science; Control theory (sociology); Environmental science; Automotive engineering; Control engineering; Engineering; Artificial intelligence; Mathematics; Statistics; Mechanical 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":[0.0007191244,0.0004315558,0.0003344922,0.0002521785,0.0002663031,0.0006838799,0.0006006869,0.0004973239,0.002394181],"category_scores_gemma":[0.00163583,0.0001604089,0.0004377031,0.0001894416,0.0003438111,0.0004282984,0.0003427158,0.0006142793,0.0002016399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000393415,"about_ca_system_score_gemma":0.000368158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001166395,"about_ca_topic_score_gemma":0.0009787962,"domain_scores_codex":[0.9995443,0.0001014682,0.00001931086,0.0000758255,0.0002259931,0.00003300305],"domain_scores_gemma":[0.9994696,0.0002492905,0.00005257459,0.00004928537,0.000165986,0.00001338569],"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":[0.0003011106,0.0001523633,0.001815979,0.00128243,0.0001147727,0.0001511342,0.0003461307,0.6898834,0.1002414,0.03026521,0.0005589371,0.174887],"study_design_scores_gemma":[0.00001637689,0.0001774435,0.0005177963,0.00002683839,0.00002436289,0.00004757906,0.00002132222,0.9816599,0.01525335,0.001068302,0.001175727,0.0000110144],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02838251,0.0005873808,0.9671783,0.00006623625,0.00004253589,0.00006152492,0.00001213858,0.0001756674,0.003493731],"genre_scores_gemma":[0.8827766,0.0004865176,0.1141941,0.00003303537,0.00002778945,0.0001019972,0.00002037646,0.00003326244,0.002326388],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002394181,"threshold_uncertainty_score":0.008009315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03272693979370481,"score_gpt":0.2597217288830939,"score_spread":0.2269947890893891,"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."}}