{"id":"W1562950862","doi":"","title":"Optimisation du design preliminaire des systemes cvca","year":2012,"lang":"fr","type":"article","venue":"","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"HVAC; Energy consumption; Mathematical optimization; Industrial engineering; Air conditioning; Process (computing); Energy (signal processing); Reliability engineering; Computer science; Engineering; Function (biology); Efficient energy use; Operations research; Simulation; Mechanical engineering; Mathematics","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":[0.001384171,0.001233259,0.001283101,0.0007724621,0.0005644974,0.001862552,0.0006533528,0.001610021,0.005451051],"category_scores_gemma":[0.003353927,0.0006239327,0.001416911,0.0005170464,0.0006434418,0.0004605082,0.0004147991,0.001185804,0.0008517778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001647004,"about_ca_system_score_gemma":0.002294402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01404288,"about_ca_topic_score_gemma":0.008695779,"domain_scores_codex":[0.9991247,0.0003042777,0.00002312882,0.0001367351,0.0002903264,0.0001208439],"domain_scores_gemma":[0.9986964,0.0008861655,0.00006901042,0.00004895308,0.0002679379,0.00003144066],"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":[0.00007641706,0.00002738387,0.0003060997,0.0001712416,0.00002126389,0.00003880025,0.00004532918,0.9739865,0.005319434,0.003198931,0.000420355,0.0163882],"study_design_scores_gemma":[0.0000389978,0.0002434758,0.0008219332,0.00003632181,0.00002108003,0.00002492296,0.00003864261,0.9864221,0.005273215,0.0009766638,0.006086461,0.00001623037],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1431801,0.001533694,0.8247318,0.000339706,0.0001512842,0.0004519096,0.0003793118,0.0009405487,0.02829165],"genre_scores_gemma":[0.7744047,0.0008947345,0.2045248,0.00008930895,0.00005184129,0.00116199,0.0004299473,0.0001774885,0.01826521],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01404288,"threshold_uncertainty_score":0.02792227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02287526001679362,"score_gpt":0.2014271117543694,"score_spread":0.1785518517375758,"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."}}