{"id":"W4407297940","doi":"10.1287/ited.2023.0051cs","title":"Case—Potty Parity: Stadium Restroom Design","year":2025,"lang":"en","type":"article","venue":"INFORMS Transactions on Education","topic":"Structural Engineering and Vibration Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; McGill University","funders":"","keywords":"Computer science; Stadium; Mathematics","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":[0.006269789,0.0003360682,0.0005817309,0.0009476023,0.00339944,0.003121697,0.002710688,0.003233471,0.06668742],"category_scores_gemma":[0.02286889,0.0003109492,0.0006268088,0.001020492,0.004087592,0.002587875,0.003643218,0.002304861,0.005324469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002178934,"about_ca_system_score_gemma":0.003508003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001822189,"about_ca_topic_score_gemma":0.002872461,"domain_scores_codex":[0.9938299,0.002760747,0.0002921203,0.0007391276,0.00111092,0.00126714],"domain_scores_gemma":[0.9928845,0.003702263,0.0004016812,0.001471032,0.0007647793,0.0007757734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001211861,0.0004917062,0.007889822,0.0003222931,0.00003853999,0.002976096,0.00488749,0.003895948,0.00145777,0.8195977,0.02264111,0.1345896],"study_design_scores_gemma":[0.001058408,0.003244476,0.008663181,0.0007503022,0.0002291187,0.006145291,0.01916746,0.03621848,0.006584601,0.6101667,0.3076227,0.0001493401],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.3494066,0.0003442779,0.1162881,0.01347622,0.0008866867,0.002146428,0.0007391695,0.0004807264,0.5162318],"genre_scores_gemma":[0.9181479,0.0001033515,0.03066077,0.001708672,0.00006324079,0.00111533,0.0001508996,0.0001079293,0.0479418],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.06668742,"threshold_uncertainty_score":0.2230917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01084421696686691,"score_gpt":0.2413497327093069,"score_spread":0.23050551574244,"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."}}