{"id":"W6989303998","doi":"","title":"Assessing moisture performance of exterior wall assembly design in wood-frame construction in Beijing, China","year":2010,"lang":"en","type":"article","venue":"NPARC","topic":"Hygrothermal properties of building materials","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Beijing; Moisture; Water content; Frame (networking); Diffusion; China; Water vapor","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0006021428,0.0005144327,0.000448555,0.0004992182,0.0003011502,0.000418202,0.0004813775,0.0003853422,0.0008963079],"category_scores_gemma":[0.0007108831,0.0002724485,0.0003586751,0.0003594123,0.0003133755,0.0003265802,0.0003163217,0.0001240318,0.0001316145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001296966,"about_ca_system_score_gemma":0.0004735974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02473854,"about_ca_topic_score_gemma":0.02669725,"domain_scores_codex":[0.9997885,0.000064589,0.00000868142,0.00003006126,0.00004380191,0.0000643869],"domain_scores_gemma":[0.9997211,0.0001193583,0.00004811457,0.00002727198,0.00004802893,0.00003605333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003128863,0.0001021387,0.03579811,0.00003945649,0.00003137967,0.0002338903,0.0001374252,0.9401805,0.01452809,0.0001713245,0.0001111379,0.00835364],"study_design_scores_gemma":[0.00005862715,0.0005464107,0.04443092,0.000004890404,0.00003878219,0.00004089846,0.0002372093,0.9403844,0.01385128,0.0001188956,0.0002646145,0.00002304289],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988586,0.000008275983,0.0004783967,0.000004497026,7.97091e-7,0.000004440952,0.00002468868,0.00001572673,0.000604565],"genre_scores_gemma":[0.9993702,0.000007357323,0.0003678225,0.00000125304,2.090205e-7,0.000003689393,0.00004404558,0.000004680467,0.0002006883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02473854,"threshold_uncertainty_score":0.04918909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01203094658413744,"score_gpt":0.2266464367834748,"score_spread":0.2146154901993373,"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."}}