{"id":"W4309217765","doi":"10.29117/irl.2022.0229","title":"Human Rights of Women: Intersectionality and the CEDAW","year":2022,"lang":"en","type":"article","venue":"International Review of Law","topic":"International Human Rights and Reproductive Law","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Intersectionality; Gender studies; Sociology; Convention; Convention on the Elimination of All Forms of Discrimination Against Women; Feminism; Ethnic group; Race (biology); Subordination (linguistics); Scope (computer science); Human rights; Law; Political science; International human rights law; Computer science","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":[0.01119598,0.0003861212,0.0005619973,0.002570645,0.01113139,0.01461426,0.001143034,0.003244364,0.004828324],"category_scores_gemma":[0.01185173,0.000308873,0.0004933766,0.003273682,0.05656442,0.01241805,0.01795494,0.006047399,0.0004042249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005515611,"about_ca_system_score_gemma":0.007406746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007112571,"about_ca_topic_score_gemma":0.006190158,"domain_scores_codex":[0.9813331,0.0111157,0.0006737653,0.001473926,0.003415326,0.001988198],"domain_scores_gemma":[0.9931218,0.004176985,0.0009411977,0.0007288982,0.0005490125,0.0004821207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001293251,0.00001135172,0.001505391,0.00009440592,0.000005303508,0.0001739862,0.1006402,0.00004281063,0.000156287,0.8785748,0.001507716,0.01727486],"study_design_scores_gemma":[0.00001004523,0.00006682567,0.004564718,0.00153264,0.0000208935,0.0008321635,0.1816593,0.0001577093,0.0006018103,0.3003269,0.5101771,0.00004980442],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1631725,0.03229307,0.01637978,0.07273852,0.001125649,0.0001206228,0.0001055886,0.00005632102,0.7140079],"genre_scores_gemma":[0.9789756,0.00361435,0.001412921,0.003501746,0.000296692,0.00006451285,0.00002651786,0.00002398529,0.01208378],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01461426,"threshold_uncertainty_score":0.05921078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02286404855311944,"score_gpt":0.3515511562498159,"score_spread":0.3286871076966965,"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."}}