{"id":"W2045077123","doi":"10.1139/l00-083","title":"A computer model for predicting infilled frame behaviour","year":2001,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Masonry and Concrete Structural Analysis","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Masonry; Infill; Structural engineering; Frame (networking); Cracking; Steel frame; Engineering; Computer science; Geotechnical engineering; Materials science; Mechanical engineering; Composite material","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":[0.0003038513,0.0006496122,0.0005505132,0.0005023662,0.0003577882,0.0007528336,0.001456713,0.001044102,0.007235801],"category_scores_gemma":[0.001575045,0.0004121692,0.0005012741,0.0005613029,0.000355295,0.0008638247,0.0003314783,0.0008393039,0.001704831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000583333,"about_ca_system_score_gemma":0.001176164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01511178,"about_ca_topic_score_gemma":0.009088283,"domain_scores_codex":[0.9997972,0.00003446985,0.00001066668,0.0000327525,0.0001038066,0.00002116125],"domain_scores_gemma":[0.9994162,0.0002508021,0.00004276355,0.00007667847,0.0001878923,0.00002567917],"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":[0.0000320525,0.00002938703,0.0007802746,0.00004469724,0.00001888284,0.00006923808,0.00003689984,0.9752941,0.002944996,0.005519568,0.0009631674,0.01426668],"study_design_scores_gemma":[0.000005587046,0.00001533743,0.0001416592,0.000003528461,0.000006184845,0.00002318024,0.000003465753,0.9966246,0.0004605163,0.000858059,0.001853904,0.000003956304],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0374894,0.0002085706,0.9489933,0.0000915456,0.0000694224,0.0001374687,0.0007462422,0.003073644,0.009190481],"genre_scores_gemma":[0.674822,0.0007985213,0.3019507,0.0000589177,0.00005073194,0.0009393509,0.002224255,0.0004921737,0.01866329],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01511178,"threshold_uncertainty_score":0.03004766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007649408122370531,"score_gpt":0.1773110999548021,"score_spread":0.1696616918324316,"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."}}