{"id":"W7161611154","doi":"","title":"Centre for Migration Studies Working Paper. Number 2022/4","year":2022,"lang":"en","type":"report","venue":"cIRcle (University of British Columbia)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Immigration; Selection (genetic algorithm); Capital (architecture); Higher education; Process (computing); Immigration policy; Human capital","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001858086,0.0005367121,0.0005497733,0.002180207,0.001913282,0.003198162,0.001158784,0.001272874,0.1603902],"category_scores_gemma":[0.004580647,0.0003247682,0.0002664898,0.005567765,0.0003835285,0.001206693,0.0012514,0.001414519,0.04978182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004389366,"about_ca_system_score_gemma":0.01096954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2408272,"about_ca_topic_score_gemma":0.2135573,"domain_scores_codex":[0.9991521,0.0001296828,0.00007289415,0.00008858734,0.0003346361,0.0002220793],"domain_scores_gemma":[0.9976227,0.0005297517,0.0001602494,0.0002762561,0.001050681,0.0003604701],"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":[0.0000644846,0.00003431114,0.002117435,0.0001487195,0.000005073515,0.00004454586,0.0002823705,0.00006416494,0.00006838111,0.005389039,0.971901,0.0198804],"study_design_scores_gemma":[0.00002941752,0.00001243222,0.02366851,0.0002206356,0.000008555411,0.00003409112,0.00107178,0.00009566071,0.0002736785,0.0005997706,0.9739744,0.00001111398],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01534624,0.008594145,0.0006501532,0.01733442,0.003549776,0.0007004376,0.2846418,0.0006857154,0.6684972],"genre_scores_gemma":[0.04028948,0.007872916,0.0009895961,0.001098453,0.0004573235,0.0008691727,0.07279225,0.0004862907,0.8751445],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8396097,"threshold_uncertainty_score":0.5365587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03402268942199222,"score_gpt":0.2423687715906029,"score_spread":0.2083460821686106,"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."}}