{"id":"W2565527434","doi":"","title":"한인 유학생의 적응에 영향하는 요인","year":2012,"lang":"ko","type":"article","venue":"","topic":"Healthcare Education and Workforce Issues","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychology; Coping (psychology); Analysis of variance; Test (biology); Demography; Clinical psychology; Medicine; Sociology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005780521,0.0002526781,0.0002842237,0.0001249304,0.0002896763,0.0001079781,0.0001907838,0.000280057,0.01806779],"category_scores_gemma":[0.0001864986,0.0002374777,0.0001183722,0.0003397282,0.00007267732,0.0003834185,0.00003865616,0.0003583797,0.01241613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000222421,"about_ca_system_score_gemma":0.0001222773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001511604,"about_ca_topic_score_gemma":0.00006482718,"domain_scores_codex":[0.9976432,0.0002502829,0.0004626556,0.0002733567,0.0003112986,0.001059257],"domain_scores_gemma":[0.9982867,0.0001979527,0.0001105792,0.0005080448,0.0001165822,0.0007801021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005634418,0.0007897632,0.2865809,0.0002115931,0.00004701866,0.000001813355,0.0347021,0.000001165533,0.0001671666,0.02507676,0.4526585,0.1997069],"study_design_scores_gemma":[0.0002985481,0.00009929428,0.05681837,0.0001959769,0.00004549948,0.00001545737,0.01083458,0.00004731203,0.003112619,0.0001746931,0.9279365,0.0004211787],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5384479,0.009393567,0.0002308677,0.1454683,0.03050142,0.0006565862,0.00001162047,0.0004112615,0.2748785],"genre_scores_gemma":[0.9100096,0.0001394438,0.0009674579,0.0072557,0.004524897,0.000009099255,0.00001842021,0.00004992626,0.07702542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4752779,"threshold_uncertainty_score":0.9883528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05415011812539521,"score_gpt":0.388063075979602,"score_spread":0.3339129578542068,"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."}}