{"id":"W3010496511","doi":"","title":"Benefices environnementaux de la cogeneration d'energie en milieu hospitalier et cas de l'Hopital de Moncton","year":2010,"lang":"fr","type":"article","venue":"Mathematical Systems Theory","topic":"Healthcare and Environmental Waste Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Cogeneration; Physics; Electricity generation","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":[0.001566952,0.0006142064,0.0004440646,0.0008119816,0.002026242,0.003010959,0.0006403637,0.001596674,0.007814321],"category_scores_gemma":[0.005470333,0.0001408358,0.0007671736,0.0005687396,0.001254517,0.0006691256,0.001821453,0.0007073355,0.0003631792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003220853,"about_ca_system_score_gemma":0.003242785,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01553083,"about_ca_topic_score_gemma":0.02197679,"domain_scores_codex":[0.9981522,0.0008775319,0.00004680547,0.00008990914,0.000270366,0.0005632037],"domain_scores_gemma":[0.9980174,0.0008654558,0.0002271068,0.00004715127,0.0002859742,0.0005568654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01656837,0.004381077,0.4253813,0.001875279,0.0009786508,0.0343033,0.01568294,0.01544678,0.01976114,0.06787048,0.01170656,0.3860442],"study_design_scores_gemma":[0.00087371,0.009306336,0.749319,0.001391117,0.001079284,0.03047976,0.05752623,0.0144104,0.017036,0.04953578,0.06861347,0.0004289742],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9824458,0.001645372,0.0007996636,0.003460107,0.0001015474,0.00002249495,0.00007311116,0.00001320948,0.01143863],"genre_scores_gemma":[0.9964613,0.0005832921,0.0004323968,0.0001069306,0.00004068509,0.00001519302,0.00003181635,0.00000462195,0.002323774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9844692,"threshold_uncertainty_score":0.03088087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007626750152473564,"score_gpt":0.2827975109213109,"score_spread":0.2751707607688374,"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."}}