{"id":"W6931358613","doi":"10.5683/sp3/wbsfpe","title":"Safe Third Country Agreement Database","year":2024,"lang":"en","type":"dataset","venue":"Borealis","topic":"Chronic Kidney Disease and Diabetes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Refugee; Residence; Politics; Country of origin; Work (physics); Immigration; Subject (documents)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004801465,0.000774765,0.001225204,0.009993964,0.002122076,0.005620196,0.003070822,0.001815531,0.3274001],"category_scores_gemma":[0.02715477,0.0007599135,0.0008373389,0.01814209,0.0005536394,0.003887518,0.00329258,0.00225487,0.257359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00427671,"about_ca_system_score_gemma":0.01471673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07422913,"about_ca_topic_score_gemma":0.07521439,"domain_scores_codex":[0.9939434,0.0009149628,0.001470306,0.0009601155,0.002011202,0.0006999686],"domain_scores_gemma":[0.9720063,0.004806079,0.002121756,0.005211698,0.01438704,0.001467128],"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":[0.00009951253,0.00002565189,0.001422363,0.0003333934,0.00001159517,0.00004704258,0.0001656,0.0001221117,0.00007440503,0.005317947,0.9803303,0.01205012],"study_design_scores_gemma":[0.00002649403,0.000005606559,0.001963664,0.0001781369,0.000005191534,0.00002955603,0.0002353882,0.0001006974,0.0001270209,0.001096758,0.996212,0.0000195851],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007366287,0.000184057,0.001040524,0.0004582186,0.0001380556,0.0002531715,0.9472502,0.001338259,0.04860084],"genre_scores_gemma":[0.003212106,0.0002917386,0.00284018,0.000408192,0.00005506751,0.0007733415,0.9671253,0.0009477393,0.02434637],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3274001,"threshold_uncertainty_score":0.9593822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01426108961864643,"score_gpt":0.2882406151234684,"score_spread":0.273979525504822,"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."}}