{"id":"W4385565432","doi":"10.1002/jls.21854","title":"Strengthening Refugee Communities by Building upon Their Cultural Assets","year":2023,"lang":"en","type":"article","venue":"Journal of Leadership Studies","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Phoenix; Refugee; Library science; State (computer science); Sociology; History; Political science; Law; Computer science; Metropolitan area","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":[0.007736117,0.001166311,0.0009187402,0.002243703,0.01790372,0.01598845,0.002913644,0.003209087,0.01700752],"category_scores_gemma":[0.01091889,0.0006193976,0.0008820439,0.0009247062,0.01281067,0.01077914,0.04623201,0.00772288,0.00326915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002569888,"about_ca_system_score_gemma":0.01553655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007317307,"about_ca_topic_score_gemma":0.02220551,"domain_scores_codex":[0.9939864,0.003816507,0.0001295908,0.0003775339,0.0005259696,0.001163949],"domain_scores_gemma":[0.9910307,0.001138215,0.000526451,0.0004653195,0.0009412621,0.005898084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009771537,0.0006200271,0.01228824,0.001807456,0.0001373986,0.004317272,0.6043644,0.0003275305,0.002841013,0.04393371,0.06729554,0.2619697],"study_design_scores_gemma":[0.00003405398,0.0002049707,0.004992492,0.00299721,0.00005841207,0.001442389,0.4698001,0.000160157,0.0003249687,0.02201556,0.4978941,0.00007564254],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3814977,0.03285229,0.01442468,0.2308467,0.007329807,0.0009611177,0.0003349498,0.0005157822,0.331237],"genre_scores_gemma":[0.8899941,0.01917697,0.01861024,0.03964468,0.0007893934,0.0005789972,0.0002235248,0.0002242988,0.0307578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01790372,"threshold_uncertainty_score":0.05689585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2930265983129879,"score_gpt":0.4335839391555852,"score_spread":0.1405573408425972,"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."}}