{"id":"W2994032869","doi":"","title":"Increasing Accessibility: Lessons Learned in Retaining Special Population Students in Canada.","year":2011,"lang":"en","type":"article","venue":"College and university","topic":"Disability Education and Employment","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Higher education; Mathematics education; Population; Pedagogy; Psychology; Sociology; Political science; Demography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004933611,0.00003621951,0.00007656673,0.00006332295,0.0001934778,0.00001225295,0.0001160823,0.00002910489,0.0001643157],"category_scores_gemma":[0.00009567763,0.00004475189,0.000008570372,0.0002697898,0.00004583288,0.0001907565,0.0000502204,0.00005800924,7.023552e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001030327,"about_ca_system_score_gemma":0.0006418195,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9710431,"about_ca_topic_score_gemma":0.9977957,"domain_scores_codex":[0.9993043,0.00022024,0.00007473086,0.0001365563,0.0001398895,0.0001242673],"domain_scores_gemma":[0.9997951,0.00003666476,0.00002665074,0.00005837873,0.00001744861,0.00006580273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004602062,0.00005879973,0.9772906,0.000001932877,0.000001391857,0.000007205773,0.01371084,5.274386e-7,3.522594e-7,0.006642264,0.00006005275,0.002180011],"study_design_scores_gemma":[0.0002285086,0.000003875435,0.9054874,0.00001000557,0.000002497544,7.105782e-8,0.09042092,0.000005372474,7.255349e-7,0.0006723576,0.003122102,0.00004612089],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9633027,0.000003819085,4.770455e-7,0.000784189,0.00009740429,0.0001046491,0.000004161126,0.000005271216,0.03569733],"genre_scores_gemma":[0.9993296,0.0000163742,0.00002474984,0.00003725851,0.00003487708,2.052259e-7,0.00000194015,0.000001247277,0.0005536966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07671009,"threshold_uncertainty_score":0.269427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09450962630767909,"score_gpt":0.335392506108556,"score_spread":0.2408828798008769,"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."}}