{"id":"W4413974214","doi":"10.31234/osf.io/mye3s_v1","title":"Certifying Intellectual Disability Efficiently and Accurately in a Low-Health-Resource Setting: A Case Study","year":2025,"lang":"en","type":"article","venue":"","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Ottawa","keywords":"Intellectual disability; Resource (disambiguation); Psychology; Business; Computer science; Psychiatry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.008855136,0.000864956,0.0007260415,0.00231224,0.01527107,0.004158589,0.003139914,0.005547838,0.004048981],"category_scores_gemma":[0.0224409,0.0007808771,0.0008947793,0.002308794,0.007199256,0.003580854,0.005784015,0.006639081,0.0008243714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006957882,"about_ca_system_score_gemma":0.005964859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01241887,"about_ca_topic_score_gemma":0.03440085,"domain_scores_codex":[0.9908309,0.005968824,0.0003178408,0.0004167197,0.0009456832,0.001520084],"domain_scores_gemma":[0.9858508,0.008392265,0.001427577,0.0005151556,0.0009113098,0.002902954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"case_report","study_design_scores_codex":[0.0001448573,0.002736808,0.04174037,0.0006717995,0.00003849332,0.2850528,0.6160763,0.0005523356,0.0009278271,0.01355155,0.009532065,0.02897473],"study_design_scores_gemma":[0.00003705729,0.0006218705,0.01205114,0.0008550267,0.00003358928,0.09287517,0.8536679,0.0007714838,0.0007153608,0.001955569,0.03632826,0.00008762878],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.974497,0.001402344,0.002003839,0.008389167,0.0001629353,0.0004106316,0.00007143468,0.00001673276,0.0130458],"genre_scores_gemma":[0.9860081,0.003320554,0.002922636,0.002362623,0.000122507,0.0002215697,0.00004732605,0.00003032121,0.004964458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01527107,"threshold_uncertainty_score":0.05048323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2634151280364296,"score_gpt":0.4804606815442679,"score_spread":0.2170455535078383,"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."}}