{"id":"W4296077768","doi":"10.29173/mocs262","title":"Novel panel system for concrete masonry walls","year":2022,"lang":"en","type":"article","venue":"Modular and Offsite Construction (MOC) Summit Proceedings","topic":"Masonry and Concrete Structural Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Masonry; Precast concrete; Serviceability (structure); Structural engineering; Grout; Stiffness; Cracking; Engineering; Reinforcement; Unreinforced masonry building; Geotechnical engineering; Civil engineering; Materials science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000228877,0.0003110654,0.0004200394,0.000188155,0.0006008857,0.000140487,0.0002017391,0.0001069997,0.000150088],"category_scores_gemma":[0.00001581425,0.0003251372,0.0001927046,0.0003602784,0.0000993444,0.0003098288,0.0001032617,0.0002762586,0.00000408069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001431834,"about_ca_system_score_gemma":0.00001513199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002354256,"about_ca_topic_score_gemma":0.000001547427,"domain_scores_codex":[0.998453,0.000009766868,0.0003910497,0.0004582147,0.0002893217,0.0003986793],"domain_scores_gemma":[0.9994307,0.00002991946,0.0001122684,0.0001318222,0.0001431137,0.0001522189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007513441,0.00001882602,0.02287488,0.006115408,0.002749643,0.0000362898,0.002897053,0.01715293,0.6469063,0.133337,0.006766713,0.1603937],"study_design_scores_gemma":[0.004110773,0.0003428154,0.001634502,0.0001472526,0.000926428,0.001101855,0.01628262,0.7576829,0.02142302,0.0005130743,0.1937202,0.002114648],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903869,0.000584266,0.004869405,0.0001213477,0.0008843315,0.000483264,0.0002171798,0.0005750189,0.001878298],"genre_scores_gemma":[0.9938331,0.00004697243,0.005069068,0.00006524872,0.0002534894,0.0001762092,0.00006581396,0.00004838342,0.0004417764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7405299,"threshold_uncertainty_score":0.9999201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01198642624139628,"score_gpt":0.1843630245517634,"score_spread":0.1723765983103671,"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."}}