{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001712208,0.0002035139,0.0002676892,0.001812283,0.002487388,0.003191036,0.0003840066,0.0003087549,0.004667873],"category_scores_gemma":[0.00408017,0.0001417285,0.0001901486,0.003985415,0.002157948,0.001486569,0.0030613,0.0004032499,0.0001986155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00354664,"about_ca_system_score_gemma":0.003018902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07476409,"about_ca_topic_score_gemma":0.1099264,"domain_scores_codex":[0.998801,0.0006444301,0.00003943854,0.0001400987,0.00009193779,0.0002831621],"domain_scores_gemma":[0.9987493,0.000699489,0.0002300121,0.00005442028,0.000142116,0.0001245947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000212173,0.0001109365,0.396099,0.0008267407,0.00005356827,0.001062607,0.5069731,0.0002939896,0.00268627,0.02054521,0.002733585,0.0684028],"study_design_scores_gemma":[0.000007528762,0.00003582576,0.252764,0.000750605,0.00003441363,0.000144473,0.6955406,0.0001713269,0.0004108605,0.002275293,0.04784935,0.00001580799],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9649223,0.001980909,0.0006088918,0.002824525,0.00002327455,0.00004900127,0.0003600615,0.000008451779,0.02922253],"genre_scores_gemma":[0.9967151,0.00124141,0.0003516511,0.0002127311,0.00000720576,0.00004033372,0.0001359199,0.00001211431,0.001283443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9975126,"threshold_uncertainty_score":0.1486578,"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."}}