{"id":"W6885083441","doi":"10.13140/rg.2.2.24643.11041","title":"Statistical Analysis of Architectural Scale Selection in Accessibility - Focused Master's Projects at Université de Montréal (2023-2025)","year":2025,"lang":"en","type":"article","venue":"","topic":"Disability Education and Employment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Scale (ratio); Selection (genetic algorithm); Statistical analysis; Scale analysis (mathematics); Statistical model","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":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.005319257,0.0004288985,0.00058004,0.002437963,0.001270629,0.00125687,0.001802718,0.0004387721,0.005128982],"category_scores_gemma":[0.01962961,0.0002525099,0.001160687,0.004557522,0.0009462963,0.0004796883,0.001750374,0.0008689964,0.000350653],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004662973,"about_ca_system_score_gemma":0.007518031,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5815195,"about_ca_topic_score_gemma":0.6646196,"domain_scores_codex":[0.9942926,0.002117736,0.0002597412,0.0009047625,0.001380697,0.001044459],"domain_scores_gemma":[0.9851918,0.004742516,0.002521885,0.001134782,0.004621814,0.001787225],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000497641,0.00006712902,0.9813405,0.0000378239,0.000287541,0.00007784125,0.0008428281,0.0008762354,0.0002971122,0.0004220107,0.002561807,0.01269132],"study_design_scores_gemma":[0.000006498649,0.00008632633,0.9969388,0.000008235025,0.00003711943,0.00001028378,0.001142,0.0009848537,0.0001047281,0.00004608463,0.0006294039,0.000005688242],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920797,0.0001075753,0.001712273,0.0001108906,0.00002767748,0.0001373627,0.003533742,0.00005442807,0.002236401],"genre_scores_gemma":[0.9960233,0.00002082437,0.0007262297,0.0000142444,0.000007879202,0.0001532126,0.001109361,0.00002080424,0.001924135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9975621,"threshold_uncertainty_score":0.8418899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02479315300907909,"score_gpt":0.3227977460394758,"score_spread":0.2980045930303967,"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."}}