{"id":"W2981148596","doi":"","title":"Parity Sanctions and Campaign Financing in France: Increased Numbers, Little Concrete Gender Transformation","year":2019,"lang":"en","type":"preprint","venue":"IRIS","topic":"Gender Politics and Representation","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Sanctions; Nomination; Politics; Political science; Parity (physics); Political economy; Campaign finance; Economics; Law","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005556897,0.0001193662,0.0001992373,0.00008980521,0.0002140832,0.0001000341,0.0001022028,0.0003100791,0.00007711529],"category_scores_gemma":[0.00007862899,0.000128583,0.00006279749,0.000114606,0.0001099253,0.0001401237,0.00004718494,0.0003566333,0.00002040798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001234154,"about_ca_system_score_gemma":0.0003449681,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05446334,"about_ca_topic_score_gemma":0.001096629,"domain_scores_codex":[0.9987673,0.000215001,0.00024856,0.0002610666,0.0002504477,0.0002575928],"domain_scores_gemma":[0.9994698,0.00009536002,0.0001038958,0.0001757384,0.00007271642,0.00008256094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002589438,0.000055458,0.5488315,0.0008877579,0.0000952633,0.00001007957,0.4123541,0.00263396,0.0003042763,0.02620875,0.005052857,0.00354007],"study_design_scores_gemma":[0.001523303,0.00002294113,0.8690404,0.0002428032,0.0001020225,0.000002982439,0.03648131,0.004211443,0.0002393001,0.04477204,0.04254948,0.0008119611],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9447904,0.0007389742,0.003683888,0.0007320769,0.0008762538,0.0006935238,0.00008225842,0.00005087218,0.04835171],"genre_scores_gemma":[0.9984163,0.0004865021,0.0002779481,0.0001114658,0.0001795805,0.00003715497,0.00006917534,0.000009352067,0.0004124891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3758728,"threshold_uncertainty_score":0.9518331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03829310648619875,"score_gpt":0.324086366215641,"score_spread":0.2857932597294422,"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."}}