{"id":"W6889690970","doi":"10.25855/sft2024-019","title":"Corrélations technico-économiques pour la modélisation d'un système de trigénération pour bâtiments. Application sur le campus de l'Université Paris Nanterre","year":2024,"lang":"fr","type":"article","venue":"Société Française de Thermique","topic":"Thermodynamic and Exergetic Analyses of Power and Cooling Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Franchise; Transportation infrastructure","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00105602,0.001750933,0.00133598,0.000870258,0.000838372,0.002216367,0.001327339,0.001764576,0.006624643],"category_scores_gemma":[0.00305909,0.0008773817,0.001679081,0.001522786,0.0006423236,0.00137096,0.0009264174,0.001873642,0.001211134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001859752,"about_ca_system_score_gemma":0.002964573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02731886,"about_ca_topic_score_gemma":0.01895366,"domain_scores_codex":[0.9993436,0.0001723787,0.00003474123,0.000120847,0.000263424,0.00006499627],"domain_scores_gemma":[0.9986753,0.0008753148,0.0001326185,0.0000595319,0.0002131657,0.00004403561],"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":[0.0000293185,0.0000196922,0.0009212004,0.0001031511,0.00002440898,0.00007581252,0.00003557185,0.9860868,0.001345391,0.002266006,0.0003653958,0.008727212],"study_design_scores_gemma":[0.000006701228,0.00003423477,0.000583276,0.00002155023,0.00001551707,0.00003094928,0.00002718603,0.9938447,0.001181916,0.00170019,0.002542349,0.00001132912],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05645524,0.001699365,0.9270783,0.0004837059,0.0002094979,0.0002664334,0.001133517,0.001860443,0.01081344],"genre_scores_gemma":[0.7948977,0.002661698,0.1804377,0.0001410379,0.00009073324,0.0009950615,0.001407708,0.000611026,0.01875718],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02731886,"threshold_uncertainty_score":0.05431968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006731665384059694,"score_gpt":0.2202339052289601,"score_spread":0.2135022398449004,"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."}}