{"id":"W6959361843","doi":"10.1051/refdp/2024s162/pdf","title":"Sanitary energy costs","year":2024,"lang":"en","type":"article","venue":"Springer Link (Chiba Institute of Technology)","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Energy consumption; Energy (signal processing); Production (economics); Life expectancy; Consumption (sociology); Value (mathematics); Plateau (mathematics); Quarter (Canadian coin)","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":[0.0007704921,0.0007683581,0.0005867103,0.00219638,0.0008660033,0.002621452,0.0009560296,0.0007711392,0.1239616],"category_scores_gemma":[0.003066217,0.0003261456,0.0009425082,0.002493425,0.0004709151,0.001022427,0.001124269,0.00100508,0.02699435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002292568,"about_ca_system_score_gemma":0.002951704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01099142,"about_ca_topic_score_gemma":0.01159371,"domain_scores_codex":[0.9982955,0.0002810623,0.00009060088,0.0001144934,0.0008549587,0.0003634495],"domain_scores_gemma":[0.998505,0.0003272239,0.0001530434,0.0001832406,0.0006643441,0.0001671642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000600896,0.0003045695,0.01633012,0.002005988,0.0003068998,0.0005986008,0.0003533129,0.01756131,0.005593466,0.1975068,0.1707502,0.5880879],"study_design_scores_gemma":[0.00004868582,0.0002974954,0.04725637,0.0006592731,0.0001467407,0.001431868,0.000767183,0.005125576,0.003306759,0.02483602,0.9160529,0.00007109754],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05457449,0.009960708,0.01594912,0.006823274,0.002655161,0.000336838,0.01933093,0.001195716,0.8891737],"genre_scores_gemma":[0.4284368,0.01299847,0.006301021,0.0009556392,0.0008808103,0.0003296603,0.01463384,0.0003617278,0.5351021],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1239616,"threshold_uncertainty_score":0.4146929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01120776150175817,"score_gpt":0.2551310785817278,"score_spread":0.2439233170799697,"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."}}