{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003023632,0.002082305,0.001997155,0.00833373,0.0044159,0.006497882,0.003223299,0.003384728,0.0629078],"category_scores_gemma":[0.02572811,0.0008128293,0.001494178,0.01337449,0.001127954,0.001839165,0.004045911,0.003675494,0.04227568],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01323582,"about_ca_system_score_gemma":0.06079443,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8615638,"about_ca_topic_score_gemma":0.89006,"domain_scores_codex":[0.995832,0.0003906387,0.000410791,0.0004538062,0.001609523,0.00130326],"domain_scores_gemma":[0.9773696,0.003636631,0.0016384,0.002343413,0.01173759,0.003274299],"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":[0.00002721805,0.00000790683,0.0008518099,0.00007145021,0.000005925433,0.00001275176,0.00002702013,0.00004482951,0.000006314536,0.000260539,0.9979575,0.0007267952],"study_design_scores_gemma":[0.0001675927,0.000008032154,0.0146457,0.0005159284,0.00002869843,0.00003793986,0.0005722154,0.0003508102,0.0001462443,0.001124593,0.9823617,0.00004048784],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00035933,0.00008185171,0.00002767251,0.0004973573,0.0001291329,0.00002087932,0.9967213,0.0001221988,0.002040233],"genre_scores_gemma":[0.001790749,0.0001406465,0.00015353,0.0002570756,0.00005864237,0.0001264207,0.991881,0.00007920401,0.00551278],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9867642,"threshold_uncertainty_score":0.2785029,"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."}}