{"id":"W3191309837","doi":"10.32920/ihtp.v1i2.1421","title":"Migrants’ wellbeing and use of information and communication technologies.","year":2021,"lang":"en","type":"article","venue":"International Health Trends and Perspectives","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Information and Communications Technology; ICTS; Psychological intervention; Social media; Sociology; Public relations; Political science; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0001747432,0.0000376478,0.00006763637,0.0001149095,0.0001905235,0.00007927817,0.00004248542,0.0000383858,0.00002364163],"category_scores_gemma":[0.0001547447,0.00003730409,0.000008436355,0.0001281686,0.0001919971,0.0004401756,0.00003668187,0.00006130071,1.762455e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003852998,"about_ca_system_score_gemma":0.00005683334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002203389,"about_ca_topic_score_gemma":0.01010975,"domain_scores_codex":[0.9995669,0.00005838631,0.0001323252,0.00007200007,0.0001089865,0.00006145919],"domain_scores_gemma":[0.9995773,0.00008764947,0.00009221688,0.00005491665,0.0001581554,0.00002978649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00001010537,0.00002222791,0.01581861,0.00001280594,0.00001437278,1.97834e-7,0.0704984,0.000002762784,0.00001549307,0.4743263,0.0002102122,0.4390685],"study_design_scores_gemma":[0.0005624793,0.00006411634,0.6175973,0.000118194,0.000007679373,0.000009084842,0.1439394,0.004272637,0.00002832973,0.005646433,0.2276017,0.0001526696],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6422294,0.01101606,0.0008601906,0.3371959,0.0001453014,0.0001230677,0.0001083116,0.0001032768,0.00821849],"genre_scores_gemma":[0.9698395,0.02754205,0.002072158,0.0001368699,0.000008946174,0.000002379642,0.00002163158,0.000001426052,0.0003750315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6017786,"threshold_uncertainty_score":0.564148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03259229366615653,"score_gpt":0.3444459564982977,"score_spread":0.3118536628321412,"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."}}