{"id":"W2811082894","doi":"10.5539/ies.v11n7p83","title":"The Impact of Government Funding on Students’ Academic Performance in Ghana","year":2018,"lang":"en","type":"article","venue":"International Education Studies","topic":"African Education and Politics","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Academic achievement; Test (biology); Academic year; Higher education; Psychology; Medical education; Political science; Mathematics education; Economic growth; Economics; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.000566578,0.00005575859,0.00006662794,0.00005479708,0.0002785275,0.00002486725,0.0003247591,0.00002379636,0.00007001447],"category_scores_gemma":[0.00100022,0.00003975957,0.00003273839,0.0001584343,0.000333217,0.00009889022,0.00004023852,0.00008643704,0.00004280394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001036745,"about_ca_system_score_gemma":0.000343646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004651583,"about_ca_topic_score_gemma":0.000264698,"domain_scores_codex":[0.9989685,0.00005950069,0.0001985149,0.00008700082,0.0005453579,0.0001410856],"domain_scores_gemma":[0.9990223,0.0002872768,0.0001372878,0.00007682172,0.0004396825,0.00003661432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002880142,0.0001913988,0.8418417,0.000002722889,0.00009950656,2.999509e-8,0.0677865,0.00000808493,0.000007235695,0.06452956,0.01514585,0.01035859],"study_design_scores_gemma":[0.0001251736,0.00009170512,0.7426391,0.00008166977,0.000005210341,2.645127e-7,0.1809738,0.00001826826,0.00009810026,0.001528204,0.07435534,0.00008310781],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9467497,0.0001751232,0.000002179682,0.00370957,0.002738837,0.00008737574,0.000004670161,0.000006169496,0.0465263],"genre_scores_gemma":[0.9875301,0.0006189339,0.00002762526,0.0002235349,0.000671888,0.00002946638,8.810009e-7,0.000003316684,0.01089429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1131873,"threshold_uncertainty_score":0.2711051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1114670094357291,"score_gpt":0.5220392890503385,"score_spread":0.4105722796146094,"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."}}