{"id":"W2526059593","doi":"10.1139/cjce-2015-0324","title":"Testing and analytical modelling of intermediate gypsum wallboard in wood shear wall sheathing to framing connections","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Carleton University","funders":"","keywords":"Framing (construction); Shear wall; Gypsum; Structural engineering; Stiffness; Cold-formed steel; Shear (geology); Geotechnical engineering; Engineering; Materials science; Composite material; Buckling","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.000440465,0.0005507601,0.0005061043,0.0007390744,0.0004798133,0.0009145374,0.001109413,0.0008177048,0.00244153],"category_scores_gemma":[0.001040525,0.0003796514,0.0006338632,0.0005098702,0.001125777,0.0003428421,0.000333757,0.0003366654,0.0004937283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001345116,"about_ca_system_score_gemma":0.0008440337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01496289,"about_ca_topic_score_gemma":0.01341151,"domain_scores_codex":[0.9996081,0.0000459032,0.00001729029,0.00005876476,0.0001687766,0.0001012876],"domain_scores_gemma":[0.9994938,0.0002296476,0.00008227728,0.00004107613,0.0001263051,0.00002679843],"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":[0.0002763341,0.0001335743,0.004069256,0.000250671,0.00001717499,0.0006341054,0.0003983844,0.7981865,0.1829288,0.001437571,0.0002773639,0.0113902],"study_design_scores_gemma":[0.00002205953,0.0005277053,0.007227331,0.00003995692,0.00003576936,0.00009623206,0.0003093326,0.8558071,0.1338286,0.0005636831,0.001511565,0.00003066474],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857827,0.0001212505,0.008502898,0.0000316636,0.00001427726,0.00005139778,0.0002376974,0.0001138138,0.005144305],"genre_scores_gemma":[0.9961796,0.00009293448,0.001874534,0.000006355681,0.000001508176,0.00002577497,0.00006844969,0.00001672885,0.001734189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01496289,"threshold_uncertainty_score":0.0297516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02129792175092684,"score_gpt":0.1867884533685988,"score_spread":0.1654905316176719,"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."}}