{"id":"W7106472937","doi":"10.5281/zenodo.17668932","title":"Digital Migration Ecosystems: Social Media's Role in Shaping Migration to Canada","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Diaspora, migration, transnational identity","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Irregular migration; Population; Government (linguistics); Field (mathematics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001248416,0.0002302003,0.000191438,0.003028514,0.007801658,0.01343605,0.0008655083,0.0006415124,0.01089173],"category_scores_gemma":[0.007859711,0.0001700507,0.0002555706,0.005414036,0.003616914,0.003091465,0.004426776,0.0009698148,0.0005424109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03173269,"about_ca_system_score_gemma":0.05317342,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9336229,"about_ca_topic_score_gemma":0.9624698,"domain_scores_codex":[0.9989575,0.0002473549,0.00003923836,0.0001047773,0.000285327,0.00036584],"domain_scores_gemma":[0.9955315,0.0009099928,0.0005622733,0.0002145487,0.001508274,0.00127349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002317889,0.0001806454,0.5941122,0.0002879458,0.0001015148,0.00112561,0.1523825,0.001300247,0.001079707,0.06195231,0.02591709,0.1613284],"study_design_scores_gemma":[0.00001719879,0.00003893017,0.409532,0.0006434426,0.0001089531,0.0001966931,0.3807989,0.002314913,0.0005329887,0.005701045,0.2000397,0.00007540177],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.836611,0.001179295,0.000597481,0.01847998,0.0001355171,0.00006108099,0.001487148,0.00005931837,0.1413891],"genre_scores_gemma":[0.9877858,0.0007629919,0.0003041828,0.000341601,0.00001845148,0.00001337281,0.0001802376,0.00002414756,0.01056914],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0663771,"threshold_uncertainty_score":0.2302378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03048941665400048,"score_gpt":0.2655515123605487,"score_spread":0.2350620957065483,"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."}}