{"id":"W4413543941","doi":"10.64628/aam.jc4mqkkts","title":"Canada’s immigration strategy: How reduced targets can preserve positive attitudes","year":2024,"lang":"en","type":"article","venue":"","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Immigration; Demographic economics; Political science; Economics; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.001746308,0.0002475034,0.0001942317,0.0005603568,0.007836439,0.004056682,0.001144489,0.001512484,0.01011157],"category_scores_gemma":[0.005114001,0.0001120885,0.0002386582,0.0008324764,0.002161084,0.0007391453,0.001350995,0.001866826,0.0008002891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03491373,"about_ca_system_score_gemma":0.1203656,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9730768,"about_ca_topic_score_gemma":0.9921759,"domain_scores_codex":[0.9982895,0.0003728341,0.00002104949,0.0001207334,0.000510887,0.000684913],"domain_scores_gemma":[0.99734,0.0002664818,0.0001171874,0.00009966039,0.0008004124,0.00137621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007069735,0.001052239,0.09787163,0.0002730406,0.0001765225,0.0005309032,0.01607759,0.004099934,0.003282701,0.1660171,0.3239787,0.3859327],"study_design_scores_gemma":[0.0002612844,0.0004736974,0.2740333,0.0005851196,0.0002880566,0.00024365,0.04376834,0.00490739,0.002811559,0.0265375,0.645888,0.0002020666],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4511934,0.002408876,0.002545041,0.1363901,0.001251246,0.0001113263,0.0005969367,0.0001912836,0.4053118],"genre_scores_gemma":[0.9414588,0.0007097078,0.001530748,0.008263933,0.00006235564,0.00002833816,0.0001317345,0.00004754393,0.04776685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03491373,"threshold_uncertainty_score":0.2533181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01493020610790937,"score_gpt":0.2869876789611034,"score_spread":0.2720574728531941,"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."}}