{"id":"W6977990396","doi":"10.7939/r3-egsf-fn27","title":"A Hybrid Decision Support System for Partition Wall Selection with an Application in Masonry Wall Systems","year":2024,"lang":"en","type":"dissertation","venue":"University of Alberta Library","topic":"High Entropy Alloys Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Masonry; Partition (number theory); Soundness; Flexibility (engineering); Process (computing); Decision support system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001474123,0.0008247171,0.0009953205,0.00115804,0.0006949377,0.002178039,0.001317694,0.001215346,0.006415762],"category_scores_gemma":[0.002790477,0.0003755263,0.0009175574,0.0009449513,0.0003213734,0.001334627,0.00128981,0.0008597104,0.001382556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005283698,"about_ca_system_score_gemma":0.001011504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003205202,"about_ca_topic_score_gemma":0.002776326,"domain_scores_codex":[0.9991115,0.0002036735,0.0001261317,0.0002139416,0.000270275,0.00007456128],"domain_scores_gemma":[0.998971,0.0005259273,0.00008451757,0.00007449536,0.0002741677,0.00006991027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001124043,0.0005449423,0.004595722,0.0007222015,0.0002107727,0.00100883,0.0006212501,0.4204096,0.02249279,0.01600681,0.008027868,0.5242352],"study_design_scores_gemma":[0.00005334569,0.0001031018,0.0003461607,0.00003279851,0.00003512965,0.00007428655,0.0000736615,0.9882791,0.003772482,0.00262866,0.004581142,0.00002011367],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03740975,0.0003133358,0.9513466,0.0002761573,0.00006886001,0.0003508562,0.0004972842,0.00620773,0.003529473],"genre_scores_gemma":[0.4471287,0.0002991333,0.5467116,0.0001859891,0.0000542096,0.0005680513,0.0008750088,0.0000942555,0.004083054],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006415762,"threshold_uncertainty_score":0.02146286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004271467569926016,"score_gpt":0.1770852747285733,"score_spread":0.1728138071586473,"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."}}