{"id":"W2907982992","doi":"","title":"","year":2018,"lang":"fr","type":"article","venue":"PubMed","topic":"Migration, Identity, and Health","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"College of Family Physicians of Canada; Bruyère","funders":"","keywords":"Computer science; World Wide Web; Data science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.004149549,0.0002249722,0.0003383547,0.0001287718,0.003344982,0.0004007659,0.000573785,0.000324759,0.0003893717],"category_scores_gemma":[0.0006671825,0.0002582848,0.0001572085,0.001333228,0.003023832,0.00152206,0.00008964843,0.0002380148,0.000263896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005861649,"about_ca_system_score_gemma":0.0003744351,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08950788,"about_ca_topic_score_gemma":0.4939114,"domain_scores_codex":[0.9952815,0.000702692,0.000588971,0.000564376,0.0008755925,0.001986862],"domain_scores_gemma":[0.9975736,0.0001383963,0.000284026,0.0003741684,0.0005493116,0.001080459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004403416,0.0003059897,0.3478824,0.000116271,0.00004420616,0.000004696836,0.0887339,6.323401e-7,0.000001001543,0.2339987,0.04177408,0.2870941],"study_design_scores_gemma":[0.0003042152,0.00005101015,0.6940163,0.00001039767,0.00004988767,0.000002045776,0.003223854,0.00001423603,0.00002488165,0.04245949,0.2596349,0.0002088548],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8294637,0.007895604,0.0002037921,0.114725,0.01498178,0.001623373,0.00001527595,0.0001245256,0.03096699],"genre_scores_gemma":[0.9108609,0.006635397,0.0001162885,0.003977584,0.01752641,0.0009099594,0.000003828107,0.00001832845,0.05995129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4044036,"threshold_uncertainty_score":0.9999869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06140750619603284,"score_gpt":0.3165125131143113,"score_spread":0.2551050069182785,"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."}}