{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.003137548,0.0003863305,0.0006646123,0.0008510905,0.0005767372,0.0003229897,0.0006119708,0.0004891386,0.0001733534],"category_scores_gemma":[0.003591873,0.0003218475,0.0000261069,0.000666073,0.005613738,0.00006682253,0.0005177392,0.001209146,0.00003457795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005749358,"about_ca_system_score_gemma":0.003715555,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5809487,"about_ca_topic_score_gemma":0.6143731,"domain_scores_codex":[0.991988,0.001182619,0.0005527631,0.0009527987,0.004219412,0.001104433],"domain_scores_gemma":[0.9926731,0.002453808,0.0003895681,0.001441896,0.00253911,0.0005025257],"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":[0.00014849,0.000019415,0.004909325,0.001435923,0.0001937269,0.0002951025,0.00008929344,1.750321e-8,0.002528143,0.01626874,0.9737594,0.0003524716],"study_design_scores_gemma":[0.000402282,0.0002654842,0.0009962043,0.00192913,0.00002087374,0.0001248357,0.0007016648,0.00000246973,0.003978517,0.005298929,0.9858941,0.0003854381],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009810098,0.038899,0.0001065518,0.002207801,0.001412755,0.002744308,0.01300272,0.0003865041,0.9314303],"genre_scores_gemma":[0.01537007,0.001711662,0.001666232,0.000002147874,0.001540428,0.00008190716,0.0001202144,0.0007155896,0.9787918],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04736149,"threshold_uncertainty_score":0.9999233,"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."}}