{"id":"W7047881930","doi":"","title":"Improving moisture management and cooling energy use in residential buildings","year":2008,"lang":"en","type":"article","venue":"NPARC","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Humidity; Range (aeronautics); Measure (data warehouse); Moisture; Efficient energy use; Passive cooling; Energy (signal processing)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.00025283,0.0002122639,0.0002493383,0.0002625741,0.0005505953,0.0004317299,0.000587748,0.0001936826,0.001446926],"category_scores_gemma":[0.000350613,0.00009389772,0.0001116275,0.0003863408,0.0002321025,0.0003325799,0.0001878397,0.0000984236,0.0002760755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008024769,"about_ca_system_score_gemma":0.0004936283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04698126,"about_ca_topic_score_gemma":0.1129066,"domain_scores_codex":[0.9997155,0.00004492053,0.000009112217,0.00004525993,0.000109793,0.00007549118],"domain_scores_gemma":[0.9998792,0.00001953326,0.00001872083,0.00001778215,0.00005472728,0.0000100613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001498284,0.0008788628,0.08654723,0.0002866133,0.00006407924,0.0002700764,0.00082801,0.04037414,0.5922136,0.0008748464,0.001986282,0.274178],"study_design_scores_gemma":[0.00006561376,0.001209733,0.3428538,0.00002116284,0.0001120545,0.0002157591,0.001707097,0.03722261,0.6050945,0.0003058701,0.01113198,0.00005985909],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953289,0.00008375595,0.001993764,0.00001495975,0.000002224782,0.0000181531,0.00006736786,0.00007555218,0.002415304],"genre_scores_gemma":[0.9977634,0.00003741148,0.001236744,0.000003192943,9.928832e-7,0.000004952632,0.00004604575,0.00001094213,0.0008964027],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04698126,"threshold_uncertainty_score":0.09341556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0108122934624737,"score_gpt":0.2234373560290931,"score_spread":0.2126250625666194,"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."}}