{"id":"W4398159737","doi":"10.2196/preprints.60547","title":"Digital Competence of Arabic-Speaking Immigrant and Refugee Older Adults Enacting Agency and Navigating Barriers: Qualitative Descriptive Study (Preprint)","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Immigration; Refugee; Competence (human resources); Qualitative research; Agency (philosophy); Political science; Gender studies; Psychology; Sociology; Social psychology; Social science; Computer science; Law","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":[0.004998363,0.0003561445,0.0006921158,0.001595781,0.005643316,0.002836984,0.001020271,0.00101409,0.004083875],"category_scores_gemma":[0.006287631,0.0004577959,0.0004729225,0.001597522,0.003062251,0.002118406,0.002894219,0.001210248,0.00048261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003786213,"about_ca_system_score_gemma":0.007100777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01755139,"about_ca_topic_score_gemma":0.03189976,"domain_scores_codex":[0.9985908,0.0006104363,0.0001153264,0.0001815295,0.0001405227,0.0003614626],"domain_scores_gemma":[0.9957678,0.00245817,0.000329056,0.000145552,0.0007129218,0.0005865084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005524801,0.0001206341,0.009565486,0.0005315022,0.000004981249,0.001166758,0.9785277,0.00002671719,0.0009092927,0.001043951,0.001225619,0.006822112],"study_design_scores_gemma":[0.000002833234,0.00004812725,0.003719472,0.0002591646,0.000003580123,0.0001972017,0.9902593,0.00002500472,0.0001633301,0.000121978,0.005190601,0.000009417913],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919417,0.001074247,0.0008118675,0.001154536,0.00005216383,0.000617467,0.0006752465,0.000009098292,0.003663732],"genre_scores_gemma":[0.986311,0.002123084,0.001765755,0.001548625,0.00002996145,0.002304778,0.00044991,0.00001841774,0.005448362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01755139,"threshold_uncertainty_score":0.03489846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02272552486992132,"score_gpt":0.3389959475980044,"score_spread":0.3162704227280831,"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."}}