{"id":"W2939476870","doi":"10.22215/etd/2018-12690","title":"Evaluating the Thermal Resistance of a Vacuum Insulation Panel Wall Assembly Containing Thermal Bridges using Industry Standard Calculation Methods and Numerical Simulation Techniques","year":2018,"lang":"en","type":"dissertation","venue":"","topic":"Aerogels and thermal insulation","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Thermal bridge; Thermal resistance; Thermal; Structural engineering; Joint (building); Thermal insulation; Computer simulation; Materials science; Enhanced Data Rates for GSM Evolution; Vacuum insulated panel; Engineering; Mechanics; Composite material; Simulation; Thermodynamics; Physics; Layer (electronics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0005405677,0.0003328834,0.0002788374,0.0004406966,0.0004136131,0.000448216,0.0004905257,0.0004486157,0.001466968],"category_scores_gemma":[0.0009433432,0.0002212984,0.0003866019,0.0004312478,0.0002301716,0.0005949053,0.0002728772,0.0004474027,0.0003795944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000527494,"about_ca_system_score_gemma":0.0004093752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001246826,"about_ca_topic_score_gemma":0.001978765,"domain_scores_codex":[0.9995659,0.00004850808,0.00001872398,0.00004425777,0.0002929292,0.00002978435],"domain_scores_gemma":[0.999747,0.00008597095,0.00002721939,0.00003338936,0.00009912716,0.000007337285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000222238,0.0002437797,0.003976372,0.0003816068,0.00004867074,0.0002987734,0.0002870526,0.267399,0.6451947,0.006224144,0.0021884,0.07353532],"study_design_scores_gemma":[0.00002398068,0.0002368348,0.00504381,0.00003258045,0.00003768094,0.0001379157,0.0001333338,0.5364264,0.452895,0.0008523153,0.004146043,0.00003416836],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8419249,0.0005672899,0.1280866,0.0001702716,0.00008547208,0.0001251127,0.0003292335,0.0004909213,0.02822006],"genre_scores_gemma":[0.9454856,0.0003723241,0.04596566,0.00001775393,0.000007549178,0.00007936027,0.0002216015,0.00009425379,0.007755968],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001466968,"threshold_uncertainty_score":0.004907489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.112332136829435,"score_gpt":0.4423394454217973,"score_spread":0.3300073085923624,"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."}}