{"id":"W2948367955","doi":"","title":"AMERİKA’DA YAŞAYAN TÜRKLERDE ETNİK KİMLİK, KÜLTÜRLEŞME, DİNDARLIK VE BUNLARIN YAŞAM MEMNUNİYETİNE ETKİSİ","year":2017,"lang":"tr","type":"article","venue":"DergiPark (Istanbul University)","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geology; Geomorphology; Physics; Animal science; Biology","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":[0.001067478,0.0005304216,0.0002946735,0.0009626169,0.002136796,0.00304321,0.000580696,0.0007694311,0.02541169],"category_scores_gemma":[0.001789307,0.0002737734,0.0004428614,0.001878493,0.002001105,0.002336325,0.002198003,0.001642099,0.003092468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002837171,"about_ca_system_score_gemma":0.004500804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04069637,"about_ca_topic_score_gemma":0.06281383,"domain_scores_codex":[0.9993448,0.0001393848,0.00003141136,0.0001151492,0.0002149164,0.0001543402],"domain_scores_gemma":[0.9991129,0.0001849739,0.0001403808,0.00009085745,0.0003419017,0.0001288282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000680065,0.0002756162,0.1171654,0.002082393,0.0002228649,0.003446116,0.06648344,0.00127639,0.01740181,0.1587853,0.07912788,0.5530528],"study_design_scores_gemma":[0.00003718371,0.0001353557,0.1485788,0.001003994,0.0000891529,0.001661679,0.04575263,0.000735448,0.003307418,0.0165977,0.7819657,0.0001349758],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4219196,0.01279266,0.01344804,0.01668911,0.001164577,0.00018871,0.002387671,0.0004042887,0.5310053],"genre_scores_gemma":[0.8372926,0.00782086,0.01161307,0.001802836,0.0001973393,0.0001555012,0.001608249,0.0001655644,0.1393439],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04069637,"threshold_uncertainty_score":0.08501059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02674005829446214,"score_gpt":0.2586817319813663,"score_spread":0.2319416736869042,"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."}}