{"id":"W3175247096","doi":"","title":"Internet, Social Media, and Settlement: A Study on Bangladeshi Immigrants in Canada / Internet, médias sociaux, et établissement : une étude des immigrants bangladais au Canada","year":2021,"lang":"fr","type":"article","venue":"Scholarship@Western (Western University)","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Settlement (finance); The Internet; Social media; Political science; Geography; Sociology; Archaeology; World Wide Web; Computer science","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":[0.001025605,0.0005144807,0.000527879,0.00184713,0.01655659,0.003951774,0.00087855,0.0007812346,0.002552906],"category_scores_gemma":[0.00183349,0.0005271394,0.0003405193,0.004405804,0.003226185,0.001265864,0.002426445,0.001552174,0.0003181539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02520104,"about_ca_system_score_gemma":0.04191595,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.984727,"about_ca_topic_score_gemma":0.9934859,"domain_scores_codex":[0.9991602,0.0001083955,0.00003620851,0.00007746104,0.0002095623,0.0004082375],"domain_scores_gemma":[0.9983231,0.0002644925,0.0002005295,0.00002795686,0.0006359585,0.000547883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005033875,0.0001671029,0.221055,0.0001454898,0.00001337686,0.001224665,0.7584005,0.00003092438,0.0008258405,0.0005616891,0.001125512,0.01639963],"study_design_scores_gemma":[0.000004279797,0.00005416177,0.1382069,0.00008651535,0.00001215145,0.0001396334,0.8548607,0.00004174267,0.00009247911,0.00002824898,0.006448096,0.00002511127],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968451,0.0003171467,0.00003199215,0.0003175904,0.000009673419,0.00004563005,0.0001240331,0.000001844821,0.002306992],"genre_scores_gemma":[0.9933944,0.001519758,0.0001537773,0.0003755944,0.000007702957,0.00005519462,0.0001409887,0.000007248781,0.004345376],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02520104,"threshold_uncertainty_score":0.1828472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08866599620371063,"score_gpt":0.3186195718260426,"score_spread":0.229953575622332,"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."}}