{"id":"W2760901122","doi":"","title":"Canada’s accidental brain drain","year":2017,"lang":"en","type":"article","venue":"University of Hertfordshire Research Archive (University of Hertfordshire)","topic":"Trauma and Emergency Care Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Accidental; Brain drain; Business; Computer security; Computer science; Economics; Development economics; Physics","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":[0.0008174626,0.0002951197,0.0007980445,0.0004829004,0.002533392,0.00002205537,0.001559142,0.0001591607,0.001098481],"category_scores_gemma":[0.0005860933,0.0003623845,0.0004364954,0.0002757018,0.002323061,0.0005230012,0.00121836,0.0007303586,0.00003593806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004447458,"about_ca_system_score_gemma":0.002807483,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.77086,"about_ca_topic_score_gemma":0.8827971,"domain_scores_codex":[0.9965788,0.0002368728,0.0002402027,0.0006307462,0.001403956,0.0009094554],"domain_scores_gemma":[0.9966961,0.0003803719,0.0003204508,0.00123808,0.0008167591,0.0005482486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.007232455,0.001048692,0.1768876,0.001401134,0.002286251,0.004210946,0.01487649,0.00001126953,0.01327291,0.006395328,0.6293032,0.1430738],"study_design_scores_gemma":[0.004500948,0.00089187,0.6293134,0.0005175872,0.0001782557,0.00004160043,0.05638114,0.0004399203,0.0003761377,0.0012858,0.3055899,0.0004834205],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8336619,0.0003436508,0.0009969851,0.01250846,0.0002816688,0.000861766,0.0004502482,0.00006653299,0.1508288],"genre_scores_gemma":[0.984493,0.0006405046,0.001984174,0.00005448264,0.00007894073,1.211014e-7,0.00006567125,0.0000289547,0.01265414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4524258,"threshold_uncertainty_score":0.9998828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04015141723832182,"score_gpt":0.2968913320872582,"score_spread":0.2567399148489363,"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."}}