{"id":"W2163991234","doi":"10.1139/l06-014","title":"Testing of light-gauge steel-frame - wood structural panel shear walls","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Shear wall; Structural engineering; Shear (geology); Oriented strand board; Framing (construction); Structural system; Engineering; Materials science; Geotechnical engineering; Composite material","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009683417,0.0002020174,0.0003051187,0.0003293908,0.00004480054,0.00005173345,0.0001861478,0.00008344212,0.00009398726],"category_scores_gemma":[0.00005327708,0.0001845131,0.00009790903,0.0002237701,0.00001861293,0.000226202,0.000006325211,0.000244824,0.000004445364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001546795,"about_ca_system_score_gemma":0.0001341506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001414179,"about_ca_topic_score_gemma":0.01350456,"domain_scores_codex":[0.9989473,0.000008177303,0.0004374834,0.00007513025,0.0001472917,0.0003846056],"domain_scores_gemma":[0.999379,0.00005084567,0.00007580758,0.0001290115,0.00009744507,0.0002679148],"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":[0.000008571837,0.00001005594,0.01428534,0.0004754127,0.0003344567,0.0004011218,0.0009830263,0.8954628,0.08241665,0.0008437113,0.002764776,0.002014078],"study_design_scores_gemma":[0.007191033,0.001784781,0.4074638,0.006140646,0.0009992291,0.003586094,0.0007727236,0.1977908,0.274558,0.003379426,0.09144383,0.004889647],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878389,0.005455962,0.0002428564,0.00006326747,0.0007268649,0.00007716234,0.00002178197,0.00006201481,0.005511218],"genre_scores_gemma":[0.9983005,0.000006163752,0.001243515,0.000005084523,0.0003193756,0.000001290854,0.000002685833,0.0000507287,0.00007067736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.697672,"threshold_uncertainty_score":0.7535862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0122065690311911,"score_gpt":0.1635613729413363,"score_spread":0.1513548039101452,"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."}}