{"id":"W4386333004","doi":"10.32920/24066303","title":"Gender mainstreaming in Toronto's urban planning framework","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Gender Politics and Representation","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Gender mainstreaming; Mainstreaming; Political science; Gender analysis; Urban planning; Economic growth; Public administration; Environmental planning; Sociology; Geography; Gender equality; Gender studies; Engineering; Economics; Civil engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000480475,0.0001345559,0.0001755682,0.00008116823,0.0001834401,0.0001618402,0.0002803764,0.0004640809,0.000387597],"category_scores_gemma":[0.000198437,0.0001367336,0.0000809416,0.00009596017,0.00006842357,0.00007254348,0.0003007194,0.0004099099,0.00003874154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005981887,"about_ca_system_score_gemma":0.0003093032,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1290544,"about_ca_topic_score_gemma":0.02043724,"domain_scores_codex":[0.9984071,0.0001446357,0.0002411571,0.0003754735,0.0003881074,0.0004434878],"domain_scores_gemma":[0.9993465,0.0001764649,0.0000811924,0.0002451649,0.00003875797,0.0001119134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000003546358,0.00005145973,0.1695756,0.0000947976,0.00006224534,0.00005947375,0.2567159,0.002226178,0.000004405583,0.5650105,0.004820643,0.001375279],"study_design_scores_gemma":[0.0001907213,0.000008942359,0.1858802,0.0003580931,0.00002816365,4.248974e-7,0.3725532,0.001095444,0.00002140276,0.4326524,0.006539642,0.0006713356],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07250226,0.0007959521,0.006016918,0.001122591,0.004294703,0.0005494256,0.00001278173,0.0003786883,0.9143267],"genre_scores_gemma":[0.9888433,0.0001515845,0.00262383,0.0001088698,0.0009408618,0.00003361872,0.00002649439,0.00002285059,0.007248591],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9163411,"threshold_uncertainty_score":0.9974372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1179522395828735,"score_gpt":0.411627807251935,"score_spread":0.2936755676690616,"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."}}