{"id":"W7078616320","doi":"","title":"Participation des clients à la gestion optimisée des charges électriques : modélisation, simulation et analyse dans un cadre résidentiel","year":2025,"lang":"fr","type":"other","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Statistical analysis; Social impact","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":[0.000614679,0.0004620829,0.0005940452,0.0003474667,0.000607927,0.001981728,0.00108512,0.001613478,0.009110628],"category_scores_gemma":[0.002004348,0.0003635379,0.0005233126,0.0005668914,0.0006707007,0.001258259,0.001048337,0.0009614643,0.0006921362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00137492,"about_ca_system_score_gemma":0.001605146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01884487,"about_ca_topic_score_gemma":0.00850404,"domain_scores_codex":[0.9996716,0.000116299,0.00001162785,0.00006139129,0.00008032095,0.00005873078],"domain_scores_gemma":[0.999073,0.0005872515,0.00006416337,0.0000556116,0.0001620298,0.00005794428],"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":[0.00008028441,0.00006376394,0.001827464,0.00006836587,0.00001433207,0.00013184,0.0002132294,0.9827802,0.001404216,0.004550647,0.0004447725,0.008420918],"study_design_scores_gemma":[0.0000139374,0.00004121493,0.0003719158,0.00001032799,0.000006326901,0.00002400687,0.0001044069,0.9961188,0.0007757628,0.001087476,0.001439378,0.000006546297],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.699645,0.0006364093,0.2533934,0.001063899,0.00008368343,0.0002505527,0.0005028752,0.0005755989,0.04384866],"genre_scores_gemma":[0.9619277,0.0003309966,0.02053749,0.0000527308,0.00001346253,0.000175687,0.0001904671,0.00005356885,0.0167179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01884487,"threshold_uncertainty_score":0.03747034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02272428178827372,"score_gpt":0.2706068368288796,"score_spread":0.2478825550406059,"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."}}