{"id":"W2773365312","doi":"10.1177/233150241700500403","title":"DHS Overestimates Visa Overstays for 2016; Overstay Population Growth near Zero during the Year","year":2017,"lang":"en","type":"article","venue":"Journal on Migration and Human Security","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Homeland security; Fiscal year; Population; Demography; Demographic economics; Geography; Political science; Economics; Sociology","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":[0.001346736,0.0005565801,0.0002250914,0.001924453,0.0006573341,0.001445804,0.0004644937,0.0003324442,0.006513671],"category_scores_gemma":[0.004561541,0.0002681863,0.0004627118,0.003415901,0.0004529123,0.001553857,0.00164752,0.0009227532,0.002036066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001864525,"about_ca_system_score_gemma":0.002889251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2177887,"about_ca_topic_score_gemma":0.2470737,"domain_scores_codex":[0.9987924,0.0001665808,0.0001034633,0.0001537268,0.0005576524,0.0002260773],"domain_scores_gemma":[0.9960757,0.0003831249,0.001491052,0.0002441674,0.001519656,0.0002863375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008713604,0.00006087208,0.7125959,0.0003980492,0.0001448173,0.0001226682,0.001267572,0.001310643,0.0002864781,0.004253658,0.2027681,0.07670408],"study_design_scores_gemma":[0.00001409467,0.00004978401,0.8146119,0.0006862827,0.00006587836,0.0002021916,0.003983439,0.001567496,0.0007891178,0.0006839224,0.1773169,0.00002903978],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6309919,0.006788464,0.004682805,0.01342326,0.00181529,0.0002325617,0.2077626,0.0008623755,0.1334407],"genre_scores_gemma":[0.8971422,0.005660751,0.002695058,0.003166153,0.0004095898,0.0002536353,0.07414295,0.0001291824,0.01640051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2177887,"threshold_uncertainty_score":0.4330419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02362494000119692,"score_gpt":0.3212505012820537,"score_spread":0.2976255612808568,"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."}}