{"id":"W4411677461","doi":"10.32674/mm8enm20","title":"Leveraging remittances for STEM education","year":2025,"lang":"en","type":"article","venue":"American Journal of STEM Education","topic":"Education Systems and Policy","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; University of New Brunswick","funders":"","keywords":"Stem cell; Biology; Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004409959,0.0004740289,0.0001693912,0.001432513,0.001504115,0.0034755,0.001454422,0.001779766,0.009797629],"category_scores_gemma":[0.007543717,0.0002269583,0.0006432934,0.0008261682,0.001846088,0.005458224,0.008160296,0.001549414,0.001778124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002686594,"about_ca_system_score_gemma":0.007969686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006487993,"about_ca_topic_score_gemma":0.01507438,"domain_scores_codex":[0.9972109,0.001318209,0.00009413908,0.0002266063,0.0004674212,0.0006826621],"domain_scores_gemma":[0.9968565,0.00072782,0.0007909873,0.0005311749,0.0004994292,0.0005940787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001375399,0.00045423,0.01339448,0.0005447945,0.00007318647,0.001809828,0.003311918,0.02247041,0.006328503,0.6305419,0.0151295,0.3058037],"study_design_scores_gemma":[0.00006847255,0.001013616,0.02007929,0.001458569,0.00006081497,0.001596312,0.006039341,0.01107752,0.00721956,0.1686039,0.7826289,0.000153555],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1928933,0.004978693,0.1071314,0.04657997,0.0004978232,0.0006907789,0.00042842,0.00095111,0.6458485],"genre_scores_gemma":[0.9425806,0.001587228,0.01804066,0.001217733,0.00008928598,0.0001710019,0.0001296541,0.00006261001,0.03612118],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009797629,"threshold_uncertainty_score":0.03277636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03003440592701138,"score_gpt":0.3975082077009277,"score_spread":0.3674738017739163,"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."}}