{"id":"W2415816654","doi":"10.1680/jstbu.15.00009","title":"Experimentally based <i>q</i>-factor estimation of cross-laminated timber walls","year":2016,"lang":"en","type":"article","venue":"Proceedings of the Institution of Civil Engineers - Structures and Buildings","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Cross laminated timber; Range (aeronautics); Structural engineering; Shear wall; Interpretation (philosophy); Engineering; Mathematics; Statistics; Computer science","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":[0.002072052,0.0006349903,0.0003217858,0.001402344,0.0002957518,0.0004363984,0.0004357361,0.0005197573,0.001370082],"category_scores_gemma":[0.005732198,0.0003767941,0.0003343758,0.0007674207,0.0006894338,0.000557432,0.000353333,0.0003246667,0.0004632752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000304712,"about_ca_system_score_gemma":0.0001650115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001710325,"about_ca_topic_score_gemma":0.004289961,"domain_scores_codex":[0.9992214,0.0001953475,0.00007566855,0.0001536075,0.000277791,0.00007611664],"domain_scores_gemma":[0.9957781,0.002114419,0.0005181726,0.0004464163,0.001062252,0.00008056122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005798088,0.0001073516,0.06045325,0.000310936,0.00002761759,0.0002225548,0.0006440526,0.02713577,0.8312883,0.000394131,0.0001896831,0.07864657],"study_design_scores_gemma":[0.00001852723,0.0009688722,0.203226,0.0000656317,0.00005604111,0.0006000394,0.0008388644,0.05269645,0.7395509,0.0005103913,0.001383179,0.00008511195],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8997708,0.0003324359,0.096404,0.00001311029,0.00001213726,0.00009262533,0.0002234928,0.0001408851,0.003010482],"genre_scores_gemma":[0.9881238,0.00009096807,0.01143472,0.000004018571,0.000001895484,0.00002099427,0.00009643329,0.00001546361,0.0002116203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002072052,"threshold_uncertainty_score":0.01095819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007169600448158828,"score_gpt":0.2138777532600583,"score_spread":0.2067081528118994,"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."}}