{"id":"W2907549432","doi":"10.47678/cjhe.v4i2.188341","title":"Economic Inequality and Accessibility to Higher Education","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Higher Education","topic":"Intergenerational and Educational Inequality Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Inequality; Higher education; Economics; Public economics; Sociology; Economic growth; Mathematics education; Development economics; Psychology; Mathematics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006713374,0.00008705619,0.0001292682,0.0002134014,0.0005599671,0.0001534198,0.0001898743,0.00006224817,0.002844241],"category_scores_gemma":[0.0001274817,0.00008509208,0.00003944424,0.0001595086,0.0002133947,0.0004146767,0.00001025847,0.00008211892,0.00008986225],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008087728,"about_ca_system_score_gemma":0.009932264,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04504447,"about_ca_topic_score_gemma":0.09431589,"domain_scores_codex":[0.9989866,0.0001545427,0.0003568116,0.0001515315,0.0001411839,0.0002093405],"domain_scores_gemma":[0.9982175,0.0000583716,0.0001832976,0.0001119006,0.0008341725,0.000594705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001673004,0.00009639604,0.2286949,0.00001347002,0.00003512422,1.977568e-7,0.01161483,0.00000244375,0.00005315171,0.252717,0.5017033,0.005052414],"study_design_scores_gemma":[0.00002879403,0.00002969017,0.4457569,0.00001766625,0.000009372373,0.000001096928,0.0009174352,1.164909e-7,0.00002683736,0.01337294,0.539768,0.00007117115],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9118708,0.001009426,0.000007297794,0.05328895,0.0127399,0.0001243469,0.00001011722,0.000005096354,0.02094402],"genre_scores_gemma":[0.9537686,0.00001081865,0.0004690347,0.004500873,0.007267255,0.00001251279,0.000006878232,0.000006370318,0.03395765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2393441,"threshold_uncertainty_score":0.9980673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06518122974500909,"score_gpt":0.4035159759637706,"score_spread":0.3383347462187615,"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."}}