{"id":"W2284748191","doi":"10.5539/mas.v10n4p60","title":"The Determinants of Mathematics and Statistics Achievement in Higher Education","year":2016,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Educational Environments and Student Outcomes","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Mathematics education; Class (philosophy); Function (biology); Statistical analysis; Factor (programming language); Statistics; Mathematics; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006809216,0.0000379328,0.00005339636,0.00002906774,0.0002996085,0.00003270278,0.000225507,0.00001275446,0.00002267118],"category_scores_gemma":[0.00003855072,0.00002098191,0.00000469187,0.00009337044,0.0008003832,0.00006623167,0.00005191196,0.00001793756,0.000004132247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007777001,"about_ca_system_score_gemma":0.0001942076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005165205,"about_ca_topic_score_gemma":0.000235475,"domain_scores_codex":[0.9992058,0.000008882737,0.0001302448,0.0001122804,0.0003991854,0.0001436533],"domain_scores_gemma":[0.9996156,0.0001562835,0.0000665409,0.000102605,0.00001795126,0.00004100707],"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":[0.000001873579,0.000180621,0.1911202,0.000005268193,0.000001209271,5.505275e-8,0.005999052,9.295364e-7,0.006233197,0.7011699,0.00003411909,0.09525353],"study_design_scores_gemma":[0.0001461632,0.00001016079,0.8801895,0.00002044852,0.000003327131,9.028709e-8,0.003240412,0.000170885,0.0003043732,0.1108486,0.004976557,0.00008945481],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799109,0.00005864924,0.003534023,0.003065166,0.0002635072,0.0002891864,0.000005011515,0.000005797096,0.01286778],"genre_scores_gemma":[0.9933343,0.00009498416,0.00322753,0.00005734086,0.00001576647,0.00002027892,7.880471e-8,0.000002049182,0.003247654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6890693,"threshold_uncertainty_score":0.2949045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03696080832827837,"score_gpt":0.34030333468385,"score_spread":0.3033425263555716,"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."}}