{"id":"W3012498077","doi":"10.2196/14283","title":"Integrating Health Technologies in Health Services for Syrian Refugees in Lebanon: Qualitative Study","year":2020,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Newcastle University; International Development Research Centre","keywords":"Refugee; Health care; Thematic analysis; Context (archaeology); Syrian refugees; Qualitative research; Population; mHealth; eHealth; Medicine; Nursing; Economic growth; Public relations; Political science; Environmental health; Sociology; Geography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.006504057,0.00053744,0.0007662756,0.001417608,0.01101244,0.003380448,0.001222547,0.0013905,0.004229065],"category_scores_gemma":[0.004879271,0.0005135723,0.0004826618,0.001444088,0.006323877,0.002735157,0.004985195,0.001975785,0.0002817186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005838934,"about_ca_system_score_gemma":0.007396577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01024894,"about_ca_topic_score_gemma":0.01789341,"domain_scores_codex":[0.9953955,0.003106948,0.0001411602,0.0002047555,0.0002288375,0.0009226904],"domain_scores_gemma":[0.995883,0.002559333,0.0004212125,0.00009472974,0.0003083985,0.0007333175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002692762,0.000058202,0.004435915,0.0003186627,0.000005259189,0.001950719,0.9863149,0.0000263314,0.0007893125,0.001051085,0.0005133275,0.00450941],"study_design_scores_gemma":[0.000001314724,0.00002276125,0.0009912545,0.0001332236,0.00000185812,0.0001482977,0.995514,0.00001827496,0.00006856639,0.00005528575,0.003041591,0.000003553825],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992233,0.001378958,0.0005011475,0.002405054,0.0000643376,0.0001822401,0.0001043285,0.000005970756,0.003124886],"genre_scores_gemma":[0.9932832,0.002075302,0.000642616,0.001117075,0.00002621564,0.0002405175,0.00006353932,0.0000109581,0.002540688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01101244,"threshold_uncertainty_score":0.0423646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1690942703293687,"score_gpt":0.5789660300788815,"score_spread":0.4098717597495127,"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."}}