{"id":"W1552924527","doi":"10.1108/09504121011067012","title":"QuotaProject: Global Database of Quotas for Women","year":2010,"lang":"en","type":"article","venue":"Reference Reviews","topic":"EU Law and Policy Analysis","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Database; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01187821,0.001790014,0.002593325,0.0472078,0.001026522,0.004878172,0.002316968,0.002003205,0.06270191],"category_scores_gemma":[0.05169559,0.001090023,0.001082169,0.06673448,0.0006837248,0.003465959,0.002461019,0.001186815,0.02244162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003989424,"about_ca_system_score_gemma":0.01786273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03462603,"about_ca_topic_score_gemma":0.02647793,"domain_scores_codex":[0.9900034,0.002158706,0.002616761,0.0007818689,0.003956708,0.0004824722],"domain_scores_gemma":[0.9537424,0.01482826,0.006627804,0.003909465,0.0196259,0.001266067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003882459,0.00005229691,0.00229343,0.01459062,0.0001652056,0.00005185337,0.0007661762,0.0002675803,0.0008486113,0.01240187,0.8732848,0.09488928],"study_design_scores_gemma":[0.00003905334,0.00002415672,0.004291396,0.001563912,0.00008541952,0.00002001538,0.0001698653,0.0000640959,0.0005082414,0.001010253,0.9922002,0.00002342775],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001748617,0.01042146,0.00227453,0.0009446053,0.0003989304,0.0003363581,0.9561104,0.001561367,0.02620368],"genre_scores_gemma":[0.02102451,0.02337855,0.01634792,0.001190629,0.000360327,0.003683195,0.9018965,0.002176517,0.02994197],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06270191,"threshold_uncertainty_score":0.2097588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.101785379528388,"score_gpt":0.4322809059965412,"score_spread":0.3304955264681532,"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."}}