{"id":"W7071220345","doi":"","title":"Russian immigration to Canada in the 20th – early 21st century","year":2017,"lang":"ru","type":"other","venue":"Research Repository Saint Petersburg State University (Saint Petersburg State University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Government (linguistics); Population","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007718836,0.0003145924,0.000319266,0.002184776,0.0154275,0.005760779,0.0006472906,0.001039268,0.007267111],"category_scores_gemma":[0.002128388,0.0002606102,0.0003654093,0.004462832,0.003631931,0.0009150225,0.002291132,0.001563641,0.0007201147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1166196,"about_ca_system_score_gemma":0.1381207,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9918708,"about_ca_topic_score_gemma":0.9963471,"domain_scores_codex":[0.9980914,0.0001543273,0.00005304959,0.0001438392,0.0004836611,0.001073712],"domain_scores_gemma":[0.9987541,0.0001101912,0.0001171238,0.00005067075,0.0006280179,0.0003397819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004969698,0.0001220952,0.1378537,0.0004447669,0.0001168797,0.001928322,0.09607034,0.001605888,0.001232872,0.5843272,0.05290682,0.1228941],"study_design_scores_gemma":[0.00003616145,0.00003835837,0.1780822,0.0004065837,0.00006900254,0.0003655603,0.03768435,0.0007599917,0.0009264313,0.005083745,0.7764509,0.00009661703],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5576485,0.007289116,0.0004601495,0.01092822,0.0004999599,0.00006434349,0.001346649,0.00004486775,0.4217181],"genre_scores_gemma":[0.8663637,0.005589731,0.0004297519,0.00116788,0.00006117695,0.00002405704,0.0003818067,0.00004656259,0.1259354],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1166196,"threshold_uncertainty_score":0.8461382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01834089720899618,"score_gpt":0.2439995360320788,"score_spread":0.2256586388230827,"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."}}