{"id":"W4390430449","doi":"10.26439/interfases2023.n018.6608","title":"Mapping Gender Educational Policies in STEM Areas in the Context of the New Brazilian High School Education","year":2023,"lang":"en","type":"article","venue":"Interfases","topic":"Education and Public Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universidade Federal de Mato Grosso do Sul; International Development Research Centre","keywords":"Context (archaeology); Latin Americans; Loan; Political science; Regional science; Economic growth; Sociology; Geography; Business; Economics; Finance","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":[0.002562841,0.0001555386,0.0002108581,0.002085675,0.001820238,0.00241369,0.0003261518,0.0004766049,0.004019669],"category_scores_gemma":[0.007111837,0.0001121871,0.0001918155,0.003395676,0.001693693,0.001522235,0.00130544,0.0008238134,0.000178424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01065428,"about_ca_system_score_gemma":0.01095647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1129064,"about_ca_topic_score_gemma":0.2125524,"domain_scores_codex":[0.9986615,0.0004256875,0.00005633581,0.0001276082,0.0002975223,0.0004313129],"domain_scores_gemma":[0.9968241,0.001496064,0.0006524927,0.0001219906,0.00062563,0.0002797275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001119957,0.0001264481,0.1443699,0.0009643717,0.00004133773,0.0007004177,0.08445646,0.001738583,0.003347523,0.5826554,0.008039371,0.1734482],"study_design_scores_gemma":[0.000008842151,0.0000876413,0.4888377,0.001272535,0.00003989742,0.0001805493,0.1419443,0.001025316,0.001172852,0.02213232,0.3432705,0.00002740944],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7335255,0.006934769,0.00260527,0.02463749,0.0001164853,0.000135381,0.001291206,0.00002637442,0.2307276],"genre_scores_gemma":[0.990575,0.002813607,0.0008636718,0.0004340225,0.00002272437,0.00005574551,0.000183877,0.000009045589,0.005042372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9981797,"threshold_uncertainty_score":0.2244985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07379131377777155,"score_gpt":0.377735043211202,"score_spread":0.3039437294334305,"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."}}