{"id":"W2607343961","doi":"","title":"The gender binary, the third space, and public university washrooms","year":2016,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Gender Diversity and Inequality","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public space; Space (punctuation); Binary number; Gender studies; Political science; Sociology; Mathematics; Engineering; Linguistics; Philosophy; Arithmetic; Architectural engineering","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":[0.002503953,0.000294448,0.0004015557,0.001283185,0.02119116,0.01252129,0.0009306978,0.001366985,0.004895133],"category_scores_gemma":[0.002816864,0.0002297894,0.0002659183,0.001719525,0.0392651,0.005570556,0.01084201,0.002348969,0.0002871693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0146604,"about_ca_system_score_gemma":0.01489265,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.106003,"about_ca_topic_score_gemma":0.1784498,"domain_scores_codex":[0.9959137,0.001912438,0.00008752321,0.0002169098,0.0008110155,0.001058508],"domain_scores_gemma":[0.9979976,0.000517017,0.000355844,0.000174962,0.0002512116,0.0007032505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005644047,0.00004050885,0.007336218,0.0001110299,0.000007393225,0.0003209421,0.2833866,0.0001440906,0.0006417103,0.6740478,0.002931971,0.03097545],"study_design_scores_gemma":[0.00001069617,0.00005439423,0.0158066,0.0004447832,0.00001195997,0.0002115812,0.7927429,0.0001648679,0.0008217463,0.05054053,0.1391553,0.00003465007],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6729273,0.003537575,0.003948427,0.01499672,0.0002306016,0.00003853807,0.00004389105,0.00002711807,0.3042498],"genre_scores_gemma":[0.9924233,0.000418151,0.0002665092,0.0002557618,0.00001224337,0.0000127746,0.000006128067,0.000007401283,0.006597695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.893997,"threshold_uncertainty_score":0.210772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0476236646224943,"score_gpt":0.2367237470804494,"score_spread":0.1891000824579551,"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."}}