{"id":"W4390430473","doi":"10.26439/interfases2023.n018.6610","title":"Mapping Contextual Aspects that Influences Women in Computing in Latin America","year":2023,"lang":"en","type":"article","venue":"Interfases","topic":"Business, Education, Mathematics Research","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; International Development Research Centre","keywords":"Latin Americans; Public relations; Political science; Gender equality; Gender studies; Sociology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007016978,0.00015285,0.0002675656,0.001222766,0.00008114506,0.0003443238,0.0003534718,0.00004195914,0.0002726412],"category_scores_gemma":[0.0007585865,0.0001490759,0.00002876392,0.002372596,0.00009619721,0.0008205618,0.0002479103,0.0001836732,0.0009104132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001276444,"about_ca_system_score_gemma":0.00006057496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001676278,"about_ca_topic_score_gemma":0.0006813239,"domain_scores_codex":[0.998483,0.00002374957,0.0003623565,0.0002720629,0.000291276,0.0005675796],"domain_scores_gemma":[0.9991657,0.0003628769,0.0001682107,0.000187618,0.0001010885,0.00001457554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003049002,0.0002259115,0.9668534,0.0007247563,0.00002403747,0.00008272733,0.009918118,0.0009918486,0.0008121587,0.001652605,0.003738787,0.01494521],"study_design_scores_gemma":[0.0006572482,0.00001147495,0.898985,0.001040965,0.000002717717,0.000002179862,0.04515057,0.03917178,0.0001292941,0.006990652,0.00746754,0.0003905419],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886602,0.00003929964,0.00008076576,0.0008957779,0.000217419,0.0002311605,9.822621e-7,0.0001533477,0.009721034],"genre_scores_gemma":[0.9989305,0.000009479619,0.00007493908,0.0003862387,0.0002786165,0.00003965725,0.00001225017,0.00002404124,0.0002443096],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06786831,"threshold_uncertainty_score":0.9998675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08632094961058237,"score_gpt":0.3149918255297926,"score_spread":0.2286708759192102,"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."}}