{"id":"W6931724626","doi":"10.5683/sp3/kbwuzs","title":"Replication Data and Code for: Skill transferability and the earnings of immigrants","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"Usability and User Interface Design","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Earnings; Replication (statistics); Replicate; Transferability; Data file","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.005228936,0.002125047,0.001503221,0.00501723,0.001706503,0.00281907,0.003380655,0.001961438,0.1711973],"category_scores_gemma":[0.0459656,0.001196082,0.002146718,0.008536514,0.0007708134,0.001688992,0.002463255,0.002739479,0.1103994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001692348,"about_ca_system_score_gemma":0.004026054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03732868,"about_ca_topic_score_gemma":0.05240617,"domain_scores_codex":[0.9958301,0.000882979,0.0007253683,0.001123262,0.0009725487,0.0004658709],"domain_scores_gemma":[0.9733138,0.008371749,0.001871891,0.008418733,0.007165611,0.0008581734],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008800911,0.00003847892,0.001787696,0.0003053239,0.00003769424,0.0000157881,0.00005077261,0.0001564814,0.00006696236,0.0005520943,0.9946696,0.002231054],"study_design_scores_gemma":[0.001271503,0.0000570126,0.02645572,0.0004602805,0.0001232498,0.000103047,0.0002504044,0.0004530925,0.000752848,0.003543691,0.9664251,0.0001040091],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004224037,0.0000284509,0.0002888848,0.00009271671,0.00005791985,0.000093664,0.9974278,0.0004530418,0.001135052],"genre_scores_gemma":[0.001999781,0.00003137801,0.001293483,0.00008895249,0.00002714142,0.001475668,0.9912936,0.0005363391,0.003253648],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9947711,"threshold_uncertainty_score":0.572712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04687976110324987,"score_gpt":0.3026369963078603,"score_spread":0.2557572352046105,"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."}}