{"id":"W6963105357","doi":"10.17616/r3hs8d","title":"Immigration, Refugees and Citizenship Canada Research and Statistics","year":2016,"lang":"en","type":"other","venue":"Registry of Research Repositories","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citizenship; Immigration; Refugee; Statistical analysis; Comparative research; Research methodology","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":[0.006142169,0.001106518,0.001499711,0.02088479,0.009926614,0.008170267,0.00332588,0.001000946,0.08860053],"category_scores_gemma":[0.03573191,0.001161653,0.001230338,0.03761478,0.001449002,0.002711166,0.004356657,0.002623883,0.02149091],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1049634,"about_ca_system_score_gemma":0.4420418,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951571,"about_ca_topic_score_gemma":0.9954319,"domain_scores_codex":[0.9857738,0.0006017076,0.0009961412,0.0007753414,0.008869505,0.002983436],"domain_scores_gemma":[0.9028755,0.003215162,0.002103511,0.002526275,0.07738572,0.01189387],"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":[0.00004306927,0.00003707242,0.006409141,0.0002988417,0.00001700487,0.0000354114,0.0003551731,0.0001009051,0.00005078993,0.004475932,0.9653618,0.0228149],"study_design_scores_gemma":[0.00004186786,0.00001664007,0.05957776,0.0008053112,0.00003339289,0.00004621603,0.001725631,0.0003875955,0.0002313811,0.001009914,0.9360502,0.00007408354],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.003244468,0.001034277,0.0005040464,0.005142285,0.000533223,0.0007634696,0.8534166,0.0007486417,0.1346131],"genre_scores_gemma":[0.035696,0.005722998,0.006379989,0.002333282,0.0002514227,0.001749168,0.5691724,0.001365889,0.3773288],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8950366,"threshold_uncertainty_score":0.7615666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04741453070880505,"score_gpt":0.3964937665618469,"score_spread":0.3490792358530418,"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."}}