{"id":"W4238811387","doi":"10.1503/cmaj.111-2037","title":"Poignant tales of refugees in Canada","year":2011,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Dalhousie University","funders":"","keywords":"Refugee; Computer science; Data science; World Wide Web; Library science; History; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002582685,0.0008189576,0.0006346499,0.001769165,0.04097481,0.007614573,0.001888641,0.003619403,0.008762311],"category_scores_gemma":[0.01108058,0.0003689844,0.000382573,0.002729145,0.01483323,0.002224195,0.004724951,0.00951226,0.000812581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0512286,"about_ca_system_score_gemma":0.07979883,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9314493,"about_ca_topic_score_gemma":0.9749776,"domain_scores_codex":[0.9963458,0.0008297398,0.00006735532,0.0002054081,0.001247843,0.001303882],"domain_scores_gemma":[0.9952723,0.000809738,0.0002838286,0.00009836121,0.001714986,0.001820791],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008052733,0.00004119108,0.00231805,0.0004527445,0.0000289879,0.003007549,0.256473,0.00008711599,0.0004443688,0.02176874,0.6816322,0.03366562],"study_design_scores_gemma":[0.00001178574,0.00001968323,0.004846024,0.0004653394,0.0000227556,0.001003705,0.3143755,0.00003379399,0.0002178823,0.001192077,0.677752,0.00005947296],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1302362,0.08328337,0.0006718115,0.5396704,0.03345484,0.0001565671,0.0006762543,0.0001819111,0.2116686],"genre_scores_gemma":[0.7551044,0.04836829,0.0006652558,0.09392776,0.002871801,0.00008972611,0.0002442148,0.0002659204,0.09846272],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06855071,"threshold_uncertainty_score":0.3716912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01490230291028571,"score_gpt":0.2663093863774289,"score_spread":0.2514070834671432,"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."}}