{"id":"W4405080045","doi":"10.1007/978-981-97-8313-7_58","title":"Effect of Growing Media Thickness and Model Input Parameters in Green Roof Thermal and Moisture Dynamics","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in civil engineering","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"British Columbia Institute of Technology; Burnaby Hospital","funders":"","keywords":"Roof; Moisture; Dynamics (music); Thermal; Materials science; Environmental science; Mechanics; Composite material; Physics; Meteorology; Engineering; Structural engineering; Acoustics","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":[0.0004280593,0.00067353,0.000370964,0.0002303801,0.0004209565,0.001082742,0.0006409602,0.001263647,0.003202797],"category_scores_gemma":[0.002311022,0.0003596941,0.0005402479,0.0002853487,0.0005472737,0.001277987,0.0004473014,0.0008156069,0.0004517023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004763106,"about_ca_system_score_gemma":0.0002606398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008687649,"about_ca_topic_score_gemma":0.006057422,"domain_scores_codex":[0.9998629,0.00004574738,0.000007410728,0.00003488055,0.00002049118,0.00002857244],"domain_scores_gemma":[0.9982122,0.001502437,0.00008088179,0.00005914199,0.00009687633,0.00004841727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006880295,0.0002494688,0.005628897,0.0001299652,0.00004058838,0.000238149,0.00006782666,0.9441547,0.03686539,0.001024331,0.0007544514,0.01015815],"study_design_scores_gemma":[0.00003010137,0.000100119,0.002814461,0.00001948457,0.00004482808,0.00001798553,0.00005031972,0.9677411,0.02854721,0.0002187199,0.0003951062,0.00002060315],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9693839,0.0005323025,0.01588224,0.0003623488,0.0001569997,0.00002658808,0.000914768,0.0004575279,0.01228323],"genre_scores_gemma":[0.9955488,0.0001651182,0.002090014,0.00003605923,0.00001343255,0.000009165753,0.0002132509,0.0001307428,0.001793296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008687649,"threshold_uncertainty_score":0.01727414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004410950687784477,"score_gpt":0.183345166952532,"score_spread":0.1789342162647475,"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."}}