{"id":"W4399352564","doi":"10.3280/mm2024-001002","title":"Understanding Canada's Private Sponsorship Program: Its origins, features, and consequences","year":2024,"lang":"en","type":"article","venue":"MONDI MIGRANTI","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science","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":[0.00179244,0.0001812704,0.0002057342,0.001468576,0.01655131,0.0061951,0.001221854,0.001054449,0.004021827],"category_scores_gemma":[0.005047782,0.0001649709,0.0001641999,0.003132857,0.007220896,0.001507892,0.003540301,0.001839908,0.0001133502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1131405,"about_ca_system_score_gemma":0.1848794,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9917843,"about_ca_topic_score_gemma":0.996379,"domain_scores_codex":[0.9972691,0.0003031029,0.00003333107,0.0001826861,0.000624016,0.001587776],"domain_scores_gemma":[0.9937153,0.0005298195,0.0005279034,0.0001427798,0.001567594,0.003516678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001360115,0.0001827334,0.2279114,0.0002220756,0.00004655306,0.001654081,0.1095709,0.001935582,0.001170018,0.4678429,0.05544398,0.1338838],"study_design_scores_gemma":[0.00003247657,0.00009976784,0.4260636,0.0005553306,0.00005634808,0.0003615232,0.2045747,0.001786475,0.0005923746,0.01379964,0.3519653,0.0001124427],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7758721,0.002916905,0.001621315,0.06522453,0.0002002721,0.0001166496,0.0007512823,0.00006287477,0.1532341],"genre_scores_gemma":[0.9867987,0.0008965135,0.0004639729,0.000906151,0.00002108321,0.00001797088,0.00008909048,0.00001153993,0.01079503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1131405,"threshold_uncertainty_score":0.8208959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07356241371467667,"score_gpt":0.3089751848839353,"score_spread":0.2354127711692587,"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."}}