{"id":"W4236858141","doi":"10.32920/14636097","title":"On the effects of variation of thermal conductivity in buildings in the Italian construction sector","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Hygrothermal properties of building materials","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science","keywords":"Thermal conductivity; Thermal insulation; Materials science; Thermal; Heat transfer; Nonlinear system; Composite material; Thermal conduction; Conductivity; Layer (electronics); Mechanics; Thermodynamics; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.000489912,0.0003643784,0.0002609494,0.0004930786,0.00026817,0.0005493634,0.0002518844,0.0004985962,0.0007459661],"category_scores_gemma":[0.001121901,0.000117785,0.0004191399,0.0009263231,0.000561574,0.0002868344,0.0003380748,0.000173126,0.000282133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007638642,"about_ca_system_score_gemma":0.0002003265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01051548,"about_ca_topic_score_gemma":0.009717195,"domain_scores_codex":[0.9994942,0.00018757,0.00001696998,0.0001121705,0.00008032921,0.00010883],"domain_scores_gemma":[0.9990981,0.0004974927,0.0001760818,0.000119541,0.00008039277,0.00002850531],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001507864,0.0004570825,0.6949477,0.0002726495,0.0001975084,0.001436154,0.001888151,0.1867642,0.07375465,0.001038196,0.0009765205,0.03675938],"study_design_scores_gemma":[0.000008962851,0.0001999804,0.9683178,0.0000100686,0.00004529299,0.0002070584,0.0003885329,0.02169137,0.008332122,0.0001253971,0.000650444,0.00002288805],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986773,0.00008655797,0.0002263885,0.00001226119,0.000001080222,0.000002711997,0.00009721103,0.00001308963,0.0008833675],"genre_scores_gemma":[0.9996806,0.00003210103,0.00007263292,0.000001979758,0.000001292644,0.000002420282,0.000115663,0.000004557668,0.00008870845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01051548,"threshold_uncertainty_score":0.02090853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0134159145960388,"score_gpt":0.2059303828320019,"score_spread":0.1925144682359631,"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."}}