{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002876325,0.0005788672,0.0002459851,0.002424251,0.007696848,0.008927413,0.001287832,0.001031664,0.007202982],"category_scores_gemma":[0.002638878,0.0003456168,0.0003889793,0.004558028,0.01393983,0.002062927,0.003584663,0.001285796,0.000279221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1072103,"about_ca_system_score_gemma":0.06323434,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8503845,"about_ca_topic_score_gemma":0.920486,"domain_scores_codex":[0.9966213,0.001847052,0.0001111822,0.0002076937,0.0004940958,0.000718715],"domain_scores_gemma":[0.9984539,0.0005207513,0.0001147135,0.00008965885,0.0003169265,0.0005039631],"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":[0.000008231232,0.000003365505,0.0009738124,0.00005367745,0.000006126355,0.0001360473,0.01231122,0.002349044,0.00005158197,0.9733015,0.005641003,0.005164466],"study_design_scores_gemma":[0.00001982111,0.00002672074,0.01173735,0.000577438,0.000044011,0.0001894442,0.0682019,0.005088793,0.0002524556,0.2564669,0.65733,0.00006523799],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.08244137,0.008592129,0.03545597,0.04062629,0.00044721,0.0004386135,0.002095442,0.0001602351,0.8297427],"genre_scores_gemma":[0.9407731,0.00309778,0.01519218,0.0007063802,0.00006749587,0.0003502569,0.0004174995,0.00006247851,0.03933286],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1496155,"threshold_uncertainty_score":0.777869,"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."}}