{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005192962,0.0001075885,0.0003257537,0.001605864,0.001240714,0.002351795,0.0003781495,0.0004171406,0.06600609],"category_scores_gemma":[0.005329702,0.00009098389,0.0002135745,0.003162311,0.0006873829,0.001114494,0.00109132,0.0007195162,0.0015745],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002248597,"about_ca_system_score_gemma":0.002024684,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1453297,"about_ca_topic_score_gemma":0.1638605,"domain_scores_codex":[0.9995905,0.00006343005,0.00002077412,0.00003701628,0.0001501936,0.0001381883],"domain_scores_gemma":[0.9949779,0.002439653,0.0007337244,0.000138365,0.0007234941,0.0009868266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003584806,0.0005017911,0.7535142,0.0004798796,0.0002003898,0.0002797409,0.004036295,0.001274819,0.0002378637,0.112872,0.03895133,0.08729313],"study_design_scores_gemma":[0.00001377912,0.00004038157,0.9446867,0.0003453533,0.00006311444,0.00006039832,0.008010541,0.0003654266,0.0001559539,0.01612379,0.03011719,0.00001734163],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7700703,0.008949965,0.000391958,0.02361103,0.000398415,0.00002915018,0.006518334,0.00002261436,0.1900081],"genre_scores_gemma":[0.9839955,0.002070562,0.0000550249,0.0002838408,0.0002062093,0.000008090008,0.0006275967,0.000005944718,0.01274723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9977514,"threshold_uncertainty_score":0.2889676,"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."}}