{"id":"W4247839881","doi":"10.1353/cpp.0.0066","title":"A Decade Later: Assessing Successes and Challenges in Manitoba’s Provincial Immigrant Nominee Program","year":2010,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; New immigrants; Political science; Regional science; Geography; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.008134433,0.0003461838,0.0006389755,0.002004789,0.01990172,0.007101268,0.004222357,0.001619401,0.003921404],"category_scores_gemma":[0.01622696,0.0005852546,0.0004242556,0.003997217,0.004022431,0.002136875,0.005996529,0.004240111,0.0005475145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07837092,"about_ca_system_score_gemma":0.1628507,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.967406,"about_ca_topic_score_gemma":0.9888234,"domain_scores_codex":[0.9931398,0.001200051,0.0001380704,0.000272578,0.001744131,0.003505329],"domain_scores_gemma":[0.9820755,0.001477942,0.001362742,0.0004329691,0.006190978,0.008459885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002522687,0.001139601,0.6961076,0.0002069021,0.00006406406,0.00133288,0.2215157,0.0003826274,0.000753766,0.005870596,0.01336841,0.05900557],"study_design_scores_gemma":[0.00001531254,0.0002028008,0.5502197,0.0002341964,0.00002734184,0.0001331339,0.421481,0.0004392361,0.0003028983,0.0002047267,0.02669109,0.0000485176],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9820614,0.0003088206,0.00007324912,0.005522476,0.0000727517,0.000129644,0.0002637613,0.000009874457,0.01155799],"genre_scores_gemma":[0.9879597,0.0005633636,0.0002896136,0.001028853,0.00002233942,0.0001470131,0.000364056,0.00001795488,0.009607002],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07837092,"threshold_uncertainty_score":0.5686235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03586638098964329,"score_gpt":0.2824621218749194,"score_spread":0.2465957408852761,"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."}}