{"id":"W2952874766","doi":"10.36939/cjur/vol28no1/art209","title":"100 Questions About Women and Politics","year":2019,"lang":"en","type":"article","venue":"Canadian journal of urban research","topic":"Gender Politics and Representation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Politics; Political science; Sociology; Mathematics; Gender studies; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001818413,0.0008560148,0.0008658775,0.003634489,0.002108293,0.003938816,0.001091313,0.002854754,0.01892666],"category_scores_gemma":[0.005181055,0.0006853744,0.0005144469,0.004570704,0.002266925,0.005325225,0.001652127,0.004483832,0.009427064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003515001,"about_ca_system_score_gemma":0.003322622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01375403,"about_ca_topic_score_gemma":0.03821903,"domain_scores_codex":[0.9981528,0.0004294063,0.00005493943,0.0001364008,0.001129497,0.00009700008],"domain_scores_gemma":[0.9958234,0.002616204,0.0001839734,0.0000911867,0.001002291,0.000283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000008880713,0.000007701949,0.00005966276,0.0001439447,0.00000474089,0.00001865333,0.0001498556,0.00002150885,0.0000481057,0.002097222,0.9722469,0.02519274],"study_design_scores_gemma":[0.000002506385,0.000003753968,0.0004008431,0.000404306,0.000002437241,0.00005557514,0.0002756139,0.00001180561,0.00002065669,0.001595912,0.9972217,0.00000499505],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.0003178592,0.7946576,0.0001915787,0.1330645,0.02416181,0.00002233637,0.0001659339,0.00003907398,0.0473793],"genre_scores_gemma":[0.004948682,0.5241616,0.0003670661,0.1416204,0.03516424,0.00006898238,0.0005313999,0.0001227397,0.2930149],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01892666,"threshold_uncertainty_score":0.06331593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08148177382820616,"score_gpt":0.3987945192402433,"score_spread":0.3173127454120371,"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."}}