{"id":"W1969047358","doi":"10.1177/0020872811407941","title":"Immigration and disability: Ableismin the policies of the Canadian state","year":2011,"lang":"en","type":"article","venue":"International Social Work","topic":"Social Work Education and Practice","field":"Social Sciences","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Immigration; Selection (genetic algorithm); State (computer science); Immigration policy; Work (physics); Political science; Sociology; Computer science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0005610083,0.00004486456,0.00005009452,0.00001632612,0.002981938,0.00007048416,0.000277608,0.00004982185,0.0006995447],"category_scores_gemma":[0.0003337191,0.0000313965,0.00004428147,0.0005035461,0.0007346232,0.0001167683,0.00002651433,0.0001084575,0.00001948374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001905971,"about_ca_system_score_gemma":0.0002656633,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4636585,"about_ca_topic_score_gemma":0.6814682,"domain_scores_codex":[0.9991881,0.0002228795,0.0001216446,0.00007300764,0.0002684512,0.0001259513],"domain_scores_gemma":[0.9994597,0.0001922944,0.0001100297,0.00006295366,0.0001264194,0.00004853161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00001671384,0.00003757518,0.2443969,8.818352e-7,0.00003957663,1.07851e-7,0.1936488,5.223973e-7,0.000002108864,0.5330462,0.009707456,0.0191031],"study_design_scores_gemma":[0.00003202248,0.000001846578,0.6102008,0.000002203015,0.000007141277,8.621696e-8,0.01052307,6.851077e-7,0.00001291754,0.02504388,0.3541394,0.00003603315],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.446618,0.00004505215,0.000009658072,0.3614452,0.001745313,0.0002324315,0.00001566392,0.00001555063,0.1898731],"genre_scores_gemma":[0.9916951,0.0000174067,0.00002606699,0.0008513191,0.0002915423,0.0000117502,0.000001495818,0.000003730557,0.007101609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5450771,"threshold_uncertainty_score":0.998316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04321319927398844,"score_gpt":0.3356529514542713,"score_spread":0.2924397521802828,"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."}}