{"meta":{"query_hash":"94d91d5de7a3","filters":{"venue":"Critical humanistic social theory."},"cohort_total":1,"direct_labels_cover":0,"predictions_cover":1,"exported":1,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/94d91d5de7a3","api":"https://metacan.xera.ac/api/v1/cohort?venue=Critical+humanistic+social+theory."},"results":[{"id":"W4410902985","doi":"10.62177/chst.v2i2.413","title":"Artificial Intelligence in International Immigration Management: A Comparative Legal Analysis of the United States, Canada, and the European Union","year":2025,"lang":"en","type":"article","venue":"Critical humanistic social theory.","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Immigration; European union; Political science; Regional science; International trade; Law; Geography; Business","score_opus":0.021189752576454803,"score_gpt":0.31113529699937137,"score_spread":0.2899455444229166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410902985","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70991623,0.006996168,0.00046361884,0.011338766,0.000086067295,0.00008515272,0.00024865702,0.000017888806,0.27084753],"genre_scores_gemma":[0.9912055,0.003293314,0.00031008225,0.0008100076,0.000010111508,0.000017169166,0.000114098126,0.000009320339,0.004230318],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99502796,0.00071911665,0.00015172071,0.00023888786,0.0019565586,0.0019057103],"domain_scores_gemma":[0.99109906,0.002231597,0.0008663893,0.00022785351,0.004172716,0.0014022989],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040486697,0.00021315606,0.00045724772,0.0070727877,0.020983951,0.01008492,0.0018878075,0.0013936642,0.0037476292],"category_scores_gemma":[0.012716013,0.00022221224,0.0003344823,0.01354502,0.009824729,0.0020540466,0.004221916,0.0019000066,0.00012735475],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016021731,0.0002731352,0.10814984,0.0002821854,0.00008162017,0.0015189872,0.12297255,0.0016471216,0.0003969147,0.66518307,0.015189518,0.08414488],"study_design_scores_gemma":[0.00003892307,0.000069949565,0.2956464,0.0014986102,0.00014294431,0.00038420747,0.48517254,0.00261451,0.0005011177,0.011684377,0.20211959,0.0001269086],"about_ca_topic_score_codex":0.98890835,"about_ca_topic_score_gemma":0.99461776,"teacher_disagreement_score":0.89003056,"about_ca_system_score_codex":0.109969415,"about_ca_system_score_gemma":0.15741962,"threshold_uncertainty_score":0.7978877},"labels":[],"label_agreement":null}]}