{"id":"W4388998803","doi":"10.1016/j.chb.2023.108053","title":"Using technology to study refugee, conflict-affected, and hard-to-reach populations: Methodological and ethical considerations","year":2023,"lang":"en","type":"article","venue":"Computers in Human Behavior","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Refugee; Typology; Context (archaeology); Variety (cybernetics); Political science; Data science; Public relations; Sociology; Geography; Computer science; Law","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2817831,0.001217285,0.001546595,0.004446813,0.007043386,0.009332302,0.005027958,0.008008993,0.003477414],"category_scores_gemma":[0.3937,0.001277252,0.001126996,0.004436127,0.01736232,0.006354273,0.005805066,0.00676712,0.001072332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002342562,"about_ca_system_score_gemma":0.01164128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006381681,"about_ca_topic_score_gemma":0.01165296,"domain_scores_codex":[0.6978168,0.2688673,0.01435151,0.003457548,0.01312905,0.002377678],"domain_scores_gemma":[0.5857852,0.2938187,0.01762578,0.05530446,0.04161911,0.005846717],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.008124364,0.003985229,0.1137474,0.006026001,0.001600589,0.004847108,0.17767,0.005029281,0.01047342,0.3285639,0.05201788,0.2879148],"study_design_scores_gemma":[0.002910047,0.005888589,0.06326456,0.02245993,0.001114998,0.007368594,0.1814451,0.02031025,0.01653986,0.3208983,0.3569887,0.0008110593],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2740096,0.0147911,0.35477,0.1875055,0.01261461,0.06755075,0.001593785,0.0002615729,0.0869031],"genre_scores_gemma":[0.542331,0.005745069,0.2427674,0.02965404,0.002960368,0.16628,0.0002571501,0.0001112408,0.009893704],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7182169,"threshold_uncertainty_score":0.8856893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3827299491904196,"score_gpt":0.5313211289957057,"score_spread":0.1485911798052861,"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."}}