{"id":"W4405792307","doi":"10.69727/jdi.v8i2.113","title":"Harnessing AI for STEM Education in South Asia: Impact, Opportunities, and Challenges","year":2024,"lang":"en","type":"article","venue":"Journal of development innovations.","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Political science","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":[0.002983127,0.0003507833,0.0001831178,0.0008998335,0.00216651,0.00716993,0.0006834238,0.0005680992,0.005306383],"category_scores_gemma":[0.003084352,0.0001339758,0.0002814794,0.001545687,0.00334542,0.003681712,0.007341245,0.001678318,0.0008307058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002230942,"about_ca_system_score_gemma":0.01224228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002800908,"about_ca_topic_score_gemma":0.005956179,"domain_scores_codex":[0.9988562,0.0004707939,0.00005477843,0.00007708608,0.0002165162,0.0003246309],"domain_scores_gemma":[0.9959955,0.001744669,0.0003863092,0.000279001,0.0006083714,0.0009860985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002015894,0.000487231,0.09183044,0.003212773,0.000104915,0.002089826,0.0879491,0.001674817,0.01293314,0.1431075,0.009281459,0.6471272],"study_design_scores_gemma":[0.00004473015,0.0008648504,0.08733535,0.004745554,0.0002154031,0.001953358,0.4267205,0.003249108,0.01289129,0.1104993,0.3513706,0.0001099313],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7268549,0.009950444,0.008236395,0.06704478,0.0004246563,0.0001203604,0.0001630309,0.0001356654,0.1870698],"genre_scores_gemma":[0.9807804,0.008577791,0.003695037,0.002277999,0.00006177874,0.00005063745,0.00007750327,0.00002225705,0.004456619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00716993,"threshold_uncertainty_score":0.01775163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0832434060621874,"score_gpt":0.3345205706272193,"score_spread":0.251277164565032,"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."}}