{"id":"W2154356119","doi":"10.1190/tle34010106.1","title":"KEGS Foundation awards 20 scholarships to Canadian students","year":2014,"lang":"en","type":"article","venue":"The Leading Edge","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Foundation (evidence); Scholarship; Graduate research; Graduate students; Library science; Political science; Management; Sociology; Pedagogy; Law; Computer science; Economics","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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001493765,0.00006872236,0.00009168881,0.0000678349,0.001779771,0.0001455142,0.0004450287,0.00004459304,0.00005553646],"category_scores_gemma":[0.0007370451,0.00005014677,0.00002953512,0.0002152903,0.0001527888,0.0001087878,0.0000568311,0.0001310246,0.00229478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002837852,"about_ca_system_score_gemma":0.000156872,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1472494,"about_ca_topic_score_gemma":0.6367346,"domain_scores_codex":[0.9989274,0.0002132771,0.00008817356,0.0001252957,0.0002764772,0.0003693979],"domain_scores_gemma":[0.9994347,0.0001203502,0.00002874398,0.0001556913,0.00004468168,0.0002158429],"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":[0.00001144201,0.00002993448,0.1133649,0.00001142245,0.00008838681,0.000002205158,0.2078241,0.00001450042,0.00005219405,0.2723463,0.3597341,0.04652047],"study_design_scores_gemma":[0.0000615076,0.00001400595,0.03286742,0.00001565528,0.00001060967,2.411499e-7,0.001867855,0.000003879233,0.000008878546,0.003653883,0.961411,0.0000850736],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2116429,0.00003903815,0.000351762,0.2156147,0.001207599,0.0003643845,0.000003161338,0.0001002921,0.5706761],"genre_scores_gemma":[0.9636546,0.00001272779,0.00006629281,0.004315882,0.0008744814,0.00001045522,9.189094e-7,0.000008298978,0.03105637],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7520117,"threshold_uncertainty_score":0.9995198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05073775300435282,"score_gpt":0.3759306517904744,"score_spread":0.3251928987861216,"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."}}