{"id":"W4297445782","doi":"10.19180/1809-2667.v24n22022p601-621","title":"O programa Mulheres Mil como política pública de educação profissional: levantamento e descritores das produções acadêmicas em nível stricto sensu (2013-2021)","year":2022,"lang":"en","type":"article","venue":"Vértices","topic":"Education and Public Policy","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Vulnerability (computing); Political science; Sociology; Humanities; Art","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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.005928458,0.0001804492,0.0003335766,0.003794235,0.001743072,0.002188235,0.0006199326,0.000451125,0.003260678],"category_scores_gemma":[0.01690102,0.0002208105,0.000272944,0.006492931,0.001488175,0.001441869,0.002014748,0.000892947,0.0002270068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00630949,"about_ca_system_score_gemma":0.01847858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02780071,"about_ca_topic_score_gemma":0.03757915,"domain_scores_codex":[0.9971462,0.001205846,0.0001361594,0.0002019457,0.0007208727,0.0005890401],"domain_scores_gemma":[0.9901351,0.004425407,0.002222589,0.0005040967,0.001755049,0.0009577087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002218268,0.0004305214,0.3044718,0.005408531,0.00007827491,0.0005556786,0.222881,0.0006601401,0.0018205,0.07537638,0.01016621,0.3779292],"study_design_scores_gemma":[0.00002561211,0.0002331832,0.549989,0.004298396,0.00009649992,0.0003612623,0.2261903,0.0007654228,0.001483659,0.003128114,0.2133938,0.00003459655],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9111183,0.007518436,0.002040638,0.012072,0.0001382339,0.0005062511,0.001564748,0.00009915593,0.06494209],"genre_scores_gemma":[0.9928991,0.002889713,0.001146021,0.0002317877,0.00003805384,0.0002570108,0.0002188845,0.00001069382,0.002308629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9962057,"threshold_uncertainty_score":0.05527776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04527571025817708,"score_gpt":0.4151501816454521,"score_spread":0.3698744713872751,"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."}}