{"id":"W6998969857","doi":"","title":"Barriers to Academic Success forStudents with Learning Disabilities","year":2013,"lang":"en","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Advanced MEMS and NEMS Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Learning disability; Intervention (counseling); Learning development; Inclusion (mineral)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.003337312,0.0004457873,0.0008756863,0.002294621,0.01774661,0.01005568,0.002289766,0.001739872,0.02761236],"category_scores_gemma":[0.01934874,0.0004150261,0.0006676599,0.004002857,0.00264454,0.002553858,0.01002149,0.003337855,0.003810937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01479471,"about_ca_system_score_gemma":0.0720255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4870181,"about_ca_topic_score_gemma":0.7272475,"domain_scores_codex":[0.9934996,0.0007354743,0.0003168852,0.0002425425,0.001517374,0.003688077],"domain_scores_gemma":[0.9669591,0.003302977,0.003745111,0.0005589659,0.006393108,0.01904068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002148466,0.001622294,0.6694867,0.0005002657,0.00006222408,0.001497907,0.06623373,0.0001936821,0.0003097919,0.006110704,0.118896,0.1348719],"study_design_scores_gemma":[0.00005376727,0.0001734624,0.6377415,0.001120799,0.00004649022,0.0005668791,0.2855521,0.0003197638,0.0004894522,0.002348044,0.07150836,0.00007928816],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8955646,0.002525611,0.0001744162,0.03313844,0.000397194,0.000129505,0.0009871706,0.0000731476,0.06701002],"genre_scores_gemma":[0.9583313,0.002243579,0.0002886519,0.003029932,0.0001201723,0.0001241799,0.000623063,0.00004752506,0.03519156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4870181,"threshold_uncertainty_score":0.9683667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002118615184268918,"score_gpt":0.1479924371451683,"score_spread":0.1458738219608993,"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."}}