{"id":"W4212799845","doi":"10.1163/2210-7975_hrd-9825-20180017","title":"INTERNATIONAL WOMEN'S RIGHTS COALITION CALLS ON MONTREAL SUMMIT OF WOMEN FOREIGN MINISTERS TO CHAMPION WOMEN HUMAN RIGHTS DEFENDERS AT UN GENERAL ASSEMBLY","year":2019,"lang":"en","type":"dataset","venue":"Human Rights Documents online","topic":"Human Rights and Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Champion; Summit; Human rights; Political science; General assembly; Gender equality; Law; Gender studies; Public administration; Sociology; Geography; Cartography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003198504,0.002324119,0.001503329,0.00576909,0.001598622,0.004649539,0.003053691,0.003051137,0.08711579],"category_scores_gemma":[0.01456761,0.001125425,0.001564609,0.007663499,0.0008493278,0.001903403,0.002865661,0.00330787,0.09698296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003422785,"about_ca_system_score_gemma":0.006509726,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1049237,"about_ca_topic_score_gemma":0.1879699,"domain_scores_codex":[0.9981936,0.0003490925,0.0002170038,0.0003473366,0.000509481,0.0003834282],"domain_scores_gemma":[0.9926798,0.001975466,0.000722873,0.001226714,0.002330047,0.001064994],"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":[0.00003317035,0.000009916951,0.0004750015,0.0002007122,0.000008708476,0.000007345256,0.00001424617,0.00007810506,0.00002064099,0.000252491,0.9980869,0.0008128705],"study_design_scores_gemma":[0.0003091187,0.00001768682,0.005011029,0.0004379221,0.00002761192,0.00002753476,0.0001616144,0.0003866276,0.0002046641,0.001156218,0.9922236,0.00003638921],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000589269,0.00002963924,0.00002480907,0.0001658359,0.00004151608,0.000006563763,0.9990717,0.0001197114,0.0004811926],"genre_scores_gemma":[0.0002620899,0.00004685446,0.0001368191,0.0001081024,0.000009835362,0.00005285355,0.9982311,0.00005575849,0.00109652],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8950763,"threshold_uncertainty_score":0.2914314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0278567652324358,"score_gpt":0.3297370605225254,"score_spread":0.3018802952900896,"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."}}