{"id":"W4392606195","doi":"10.31355/115","title":"Streamlining Denmark’s Immigration Process","year":2024,"lang":"en","type":"article","venue":"Journal of Digital Innovation for Humanity","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Immigration; Process (computing); Computer science; Political science; Process management; Business; Law; Operating system","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007309163,0.00005977038,0.00009028159,0.0002703987,0.0002141561,0.0007112587,0.0001059285,0.00005458821,0.00007406542],"category_scores_gemma":[0.0005163176,0.00005307352,0.0000598423,0.0007212888,0.00005194289,0.001746802,0.000005059283,0.0001267493,0.000007832051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009977472,"about_ca_system_score_gemma":0.0003335027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005231801,"about_ca_topic_score_gemma":0.000370455,"domain_scores_codex":[0.9990726,0.00001570335,0.0004416683,0.00007149479,0.0002964788,0.0001020667],"domain_scores_gemma":[0.9983292,0.00009284719,0.0002452749,0.00003762655,0.001264055,0.00003104206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003222323,0.00007970077,0.0009125744,0.00006302846,0.00004582191,0.000002892564,0.01684464,0.00007398013,0.0001632911,0.9438534,0.005673428,0.03225499],"study_design_scores_gemma":[0.0008745056,0.0006389747,0.001219657,0.000371398,0.00009293984,0.000021655,0.05062695,0.008337915,0.0007077663,0.2887718,0.6478043,0.0005322368],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9503498,0.00008027304,0.02416144,0.001369056,0.0007507086,0.0001696141,0.00003418828,0.00004648407,0.0230384],"genre_scores_gemma":[0.9964453,0.00001044089,0.0001489554,0.00007579398,0.000507157,0.000002937033,0.00002544736,0.000008037591,0.002775957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6550817,"threshold_uncertainty_score":0.6858684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04548824762436733,"score_gpt":0.368348072935666,"score_spread":0.3228598253112986,"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."}}