{"id":"W4414394563","doi":"10.1186/s40461-025-00196-2","title":"Pathways to green careers: using MICMAC analysis to address gender barriers in STEM-related TVET education in Colombia","year":2025,"lang":"en","type":"article","venue":"Empirical research in vocational education and training","topic":"Environmental Education and Sustainability","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universidad Autónoma de Occidente; International Development Research Centre","keywords":"Transformative learning; Vocational education; Apprenticeship; Sustainability; Participatory action research; Focus group; Citizen journalism; Latin Americans; Qualitative research","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":[],"consensus_categories":[],"category_scores_codex":[0.002251263,0.0001473838,0.0002241507,0.001471969,0.0001713504,0.0000683969,0.0002611134,0.0001200158,0.0006424367],"category_scores_gemma":[0.0007233355,0.0001672274,0.00004164169,0.005296605,0.0001967728,0.0002239823,0.000179541,0.0004094456,0.00003302307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002909529,"about_ca_system_score_gemma":0.002558705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005760395,"about_ca_topic_score_gemma":0.003468775,"domain_scores_codex":[0.9972382,0.0005355238,0.0005144027,0.0006759822,0.000559463,0.0004763898],"domain_scores_gemma":[0.9988428,0.0003402143,0.00004174056,0.000270692,0.00006219046,0.0004424025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000041836,0.0006340143,0.8699252,0.00002592709,0.00001882961,0.000001085313,0.03845134,0.004286568,0.0002866892,0.0006354616,0.001135838,0.08455724],"study_design_scores_gemma":[0.0002271183,0.00002442611,0.9267899,0.00004449794,0.000009399524,9.011791e-7,0.06594692,0.001546603,0.00002565683,0.002220516,0.003015643,0.0001483794],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.981051,0.0000958102,0.00005842175,0.008009608,0.0001369317,0.0008207309,0.000006294563,0.000009348629,0.009811868],"genre_scores_gemma":[0.9952796,0.000008158525,0.001008505,0.002190633,0.00001814319,0.0003437833,0.00004373449,0.000009848332,0.001097589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08440886,"threshold_uncertainty_score":0.8708032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1456229977879824,"score_gpt":0.460694859072212,"score_spread":0.3150718612842295,"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."}}