{"id":"W6940199403","doi":"10.7910/dvn/zoovlk","title":"Replication Data for: Intergenerational Mobility of Immigrants by Refugee Status: An Analysis of Linked Landing Files and Tax Records","year":2025,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Immigration; Refugee; Replication (statistics); Politics; Social mobility","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.004801447,0.001393808,0.001288731,0.003444792,0.001252856,0.002635904,0.003679477,0.001963951,0.1200804],"category_scores_gemma":[0.03428901,0.001079576,0.001862441,0.007208703,0.0005278146,0.001384378,0.002754979,0.002320262,0.06648389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00134194,"about_ca_system_score_gemma":0.003983174,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04688806,"about_ca_topic_score_gemma":0.05454145,"domain_scores_codex":[0.9972073,0.0006556171,0.0005193936,0.0006341446,0.0006198828,0.0003635945],"domain_scores_gemma":[0.9873098,0.003222174,0.001481238,0.004388288,0.002815598,0.0007829785],"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":[0.00011239,0.00002862918,0.003026607,0.0003560988,0.00008432958,0.00003248434,0.00006290506,0.0001851653,0.0000623225,0.0006879397,0.9932286,0.002132558],"study_design_scores_gemma":[0.001468729,0.00005826435,0.03665513,0.0006853735,0.000183207,0.000129358,0.0003792186,0.000655101,0.0003984217,0.002756318,0.9565179,0.0001128603],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003066781,0.00001999146,0.0001109745,0.00008112493,0.00003553844,0.00002492525,0.998886,0.0001483126,0.000386441],"genre_scores_gemma":[0.001578312,0.00003154332,0.0006161249,0.00005876938,0.00001625493,0.0004319863,0.9956688,0.0001263511,0.001471831],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9531119,"threshold_uncertainty_score":0.4017091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02633432572573875,"score_gpt":0.2823299778838879,"score_spread":0.2559956521581492,"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."}}