{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002227345,0.0004597744,0.0005354239,0.002100101,0.000931841,0.002819052,0.0003462627,0.001016565,0.003329177],"category_scores_gemma":[0.009782297,0.0001959032,0.0009843826,0.002499703,0.001019083,0.002037565,0.001751259,0.0007158953,0.0003505351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008443769,"about_ca_system_score_gemma":0.001875164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004867292,"about_ca_topic_score_gemma":0.00709779,"domain_scores_codex":[0.9977857,0.001277857,0.0002915363,0.000172816,0.0003218057,0.0001503615],"domain_scores_gemma":[0.9963083,0.001930245,0.001038017,0.000107659,0.000489466,0.0001263467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002643444,0.0001237258,0.06254617,0.07754497,0.001864513,0.0009103717,0.03451802,0.0003613477,0.001152597,0.01297692,0.01788862,0.7898484],"study_design_scores_gemma":[0.00005777156,0.0006781705,0.2462634,0.1064665,0.002781163,0.002807003,0.06089872,0.0002282148,0.001377973,0.007176524,0.5711289,0.0001356703],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1330349,0.8187625,0.001366845,0.01541472,0.001433724,0.0001800167,0.001386343,0.00003997947,0.028381],"genre_scores_gemma":[0.4075203,0.5840144,0.001605432,0.002514915,0.0003896451,0.0002919039,0.0006231589,0.00001315812,0.003027092],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004867292,"threshold_uncertainty_score":0.01177949,"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."}}