{"id":"W4233620012","doi":"10.1163/2210-7975_hrd-9902-2016030","title":"Submission to Immigration, Refugees and Citizenship Canada on Medical Inadmissibility","year":2018,"lang":"en","type":"dataset","venue":"Human Rights Documents online","topic":"Health Services Management and Policy","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Refugee; Citizenship; Immigration; Political science; Law","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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001230344,0.0005761746,0.0007430543,0.0003434005,0.002392013,0.00003996651,0.0008006905,0.0007493169,0.01190639],"category_scores_gemma":[0.0002321017,0.0004198766,0.00004866136,0.0002617439,0.00008163023,0.0000830865,0.0005308133,0.001474211,0.0003837621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007672885,"about_ca_system_score_gemma":0.001571251,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7724126,"about_ca_topic_score_gemma":0.9881023,"domain_scores_codex":[0.9942605,0.0009005012,0.00142345,0.0009408925,0.001463215,0.001011386],"domain_scores_gemma":[0.9959263,0.000358144,0.0005477591,0.001241889,0.0002510046,0.001674967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009502175,0.0001231955,0.0002573749,0.001344873,0.00004955267,0.0000405031,0.0001250057,4.069161e-8,2.83666e-7,0.000468214,0.9974149,0.00008100968],"study_design_scores_gemma":[0.000868146,0.0002898004,0.004699002,0.001688417,0.00005559078,7.071305e-7,0.0000318746,0.000003638413,9.776819e-7,0.00275295,0.9891956,0.0004133019],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1318992,0.00003612791,4.791883e-7,0.008471539,0.001504029,0.001998409,0.8552501,0.00007928535,0.0007608331],"genre_scores_gemma":[0.001607922,0.00004684139,0.0000362542,0.02757541,0.003302803,0.0001128242,0.9553948,0.00003851117,0.01188464],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2156897,"threshold_uncertainty_score":0.9998253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04170939675135486,"score_gpt":0.455508953853017,"score_spread":0.4137995571016622,"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."}}