{"id":"W4407722685","doi":"10.1007/s12134-025-01239-z","title":"Digital Supports for Immigrant Professionals’ Settlement and Information Needs: Developing a Wiki-Style Tool with Intersectional, Targeted Content","year":2025,"lang":"en","type":"article","venue":"Journal of International Migration and Integration / Revue de l integration et de la migration internationale","topic":"Wikis in Education and Collaboration","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Immigration, Refugees and Citizenship Canada","keywords":"Immigration; Style (visual arts); Settlement (finance); Digital content; World Wide Web; Sociology; Political science; Computer science; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00231128,0.0002955526,0.0003123008,0.001316719,0.0004283574,0.001370299,0.0002811697,0.0002229749,0.0001253215],"category_scores_gemma":[0.003088741,0.0002614637,0.0001342,0.0005735093,0.0002282502,0.004961478,0.00003702736,0.0003919353,0.000003326214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001073309,"about_ca_system_score_gemma":0.001598089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000403568,"about_ca_topic_score_gemma":0.004046005,"domain_scores_codex":[0.9972084,0.0003891179,0.001270236,0.0002333326,0.0006519162,0.000246977],"domain_scores_gemma":[0.9938207,0.0008805598,0.001090872,0.0001303972,0.003941888,0.0001356365],"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":[0.001077328,0.0004168687,0.01615247,0.00006553284,0.0003293718,0.000002549285,0.04219342,0.000292599,0.003621483,0.8877674,0.01908054,0.02900043],"study_design_scores_gemma":[0.003367445,0.0006659206,0.04486245,0.001523313,0.0001221182,0.0002130614,0.09572063,0.0127905,0.005184627,0.007406561,0.8275108,0.0006325799],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3044111,0.0001851091,0.6050789,0.08007043,0.001592326,0.001116862,0.0002000432,0.00008002322,0.007265213],"genre_scores_gemma":[0.9712234,0.001341855,0.01534913,0.004821847,0.0004580179,0.0003187333,0.0008208528,0.00002171746,0.005644409],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8803608,"threshold_uncertainty_score":0.9999837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01377854669965113,"score_gpt":0.3132830897790403,"score_spread":0.2995045430793892,"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."}}