{"id":"W3113972875","doi":"10.18046/recs.i32.3530","title":"Transversalización de género: un acercamiento al caso de Colombia y una propuesta interseccional","year":2020,"lang":"en","type":"article","venue":"Revista CS","topic":"Gender, Violence, Rights in Latin America","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Humanities; Political science; Art","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":[0.003971085,0.0007175992,0.0005687036,0.003765675,0.008194651,0.004317977,0.0009478506,0.001099002,0.004149537],"category_scores_gemma":[0.00570664,0.0003933425,0.0002111734,0.002304666,0.00519644,0.003578483,0.005951895,0.001452447,0.0002255204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007337785,"about_ca_system_score_gemma":0.0051166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07575891,"about_ca_topic_score_gemma":0.1868522,"domain_scores_codex":[0.9974455,0.001388891,0.00008923101,0.0001960898,0.0003129385,0.0005674534],"domain_scores_gemma":[0.9972887,0.001514148,0.0003838833,0.0001707573,0.0003568874,0.0002856131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005951431,0.00005228481,0.01372419,0.0003840465,0.000008022565,0.001943638,0.9528646,0.00002747863,0.0007585679,0.005132187,0.001624708,0.0234208],"study_design_scores_gemma":[0.000002178811,0.00002059673,0.00710477,0.000194927,0.000005791297,0.0004570647,0.9712858,0.00002158489,0.0001870546,0.0003096265,0.02040082,0.000009829125],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9498662,0.007480703,0.001409029,0.004107004,0.0002416614,0.0002299267,0.0004202917,0.00001962649,0.03622568],"genre_scores_gemma":[0.9877457,0.003787172,0.0006554327,0.0003615563,0.00006252667,0.0001699126,0.0001289145,0.00001677887,0.00707205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07575891,"threshold_uncertainty_score":0.1506359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02610571444393027,"score_gpt":0.3235561683179679,"score_spread":0.2974504538740376,"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."}}