{"id":"W3048967011","doi":"10.18999/forids.50.7","title":"Building Collective Resilience : The Role of Refugee Informal Support Networks","year":2020,"lang":"ja","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Refugee; Resilience (materials science); Computer security; Computer science; Political science","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":[0.002641942,0.0003196147,0.0002316741,0.0015636,0.009018617,0.005798509,0.0008057054,0.0005744436,0.006604425],"category_scores_gemma":[0.005753663,0.0002284389,0.000205934,0.001124718,0.005795893,0.003194936,0.008338356,0.001001124,0.0003430479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004899639,"about_ca_system_score_gemma":0.00885191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09895358,"about_ca_topic_score_gemma":0.2168511,"domain_scores_codex":[0.9978733,0.001059184,0.00005861037,0.0001260134,0.0001933481,0.0006895089],"domain_scores_gemma":[0.9965815,0.0008627555,0.0005565464,0.0002527744,0.0003768602,0.001369623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001679342,0.0002115768,0.1946979,0.000424765,0.000121682,0.002516126,0.5580698,0.0003824039,0.0009431511,0.02018815,0.00991947,0.212357],"study_design_scores_gemma":[0.00001321569,0.00009034223,0.1119469,0.0008056209,0.00004570578,0.0006386048,0.8294565,0.0002470218,0.0001967453,0.004419025,0.05209733,0.00004298926],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9576427,0.002314858,0.000942077,0.008878332,0.00009214249,0.00005257676,0.00008338682,0.00003221238,0.02996171],"genre_scores_gemma":[0.9960231,0.001086163,0.000334271,0.000205237,0.00001257214,0.00001890904,0.00003263114,0.000005162459,0.002281952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09895358,"threshold_uncertainty_score":0.1967552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01692986685067161,"score_gpt":0.2958582263696343,"score_spread":0.2789283595189627,"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."}}