{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004739411,0.0002833164,0.0003717692,0.0009531066,0.008650878,0.00446307,0.003409808,0.002538357,0.006234623],"category_scores_gemma":[0.01557821,0.0001936798,0.0003954583,0.001453624,0.003115297,0.002567189,0.004237265,0.00326579,0.0004758294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02437399,"about_ca_system_score_gemma":0.1661007,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9550275,"about_ca_topic_score_gemma":0.9872,"domain_scores_codex":[0.9963709,0.0006379555,0.0001042422,0.0001716476,0.001165749,0.001549409],"domain_scores_gemma":[0.9862288,0.001438898,0.0003365979,0.0002011404,0.004298672,0.007495944],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001801469,0.0006573497,0.07163857,0.001246311,0.0000517447,0.001074344,0.02954948,0.001078882,0.0006185372,0.01119675,0.2128899,0.669818],"study_design_scores_gemma":[0.0001933809,0.0005649211,0.3776642,0.005474121,0.0001943806,0.000941743,0.2045183,0.001785516,0.0009895328,0.01510601,0.3923103,0.0002576134],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2844669,0.02162685,0.004676013,0.6037942,0.002025441,0.0004922361,0.0007486838,0.0003061031,0.08186354],"genre_scores_gemma":[0.9340957,0.01850423,0.009128306,0.01972269,0.0006080852,0.0002019038,0.0002448783,0.00009424052,0.01739995],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04497254,"threshold_uncertainty_score":0.1768465,"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."}}