{"id":"W2949181521","doi":"","title":"과중채무자의 유형화와 특성 분석: 개인채무자 지원제도 이용자를 중심으로","year":2017,"lang":"ko","type":"article","venue":"Seoul National University Open Repository (Seoul National University)","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer 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":[0.005919983,0.0004844282,0.0004275061,0.00286811,0.003057039,0.01051424,0.001004291,0.001240786,0.01019942],"category_scores_gemma":[0.01161055,0.0004025253,0.0005544765,0.003673303,0.0071011,0.007818248,0.002129323,0.002177615,0.002286563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005028101,"about_ca_system_score_gemma":0.007455776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007400993,"about_ca_topic_score_gemma":0.007119642,"domain_scores_codex":[0.9955981,0.002066947,0.0003558702,0.0006397223,0.001009698,0.000329751],"domain_scores_gemma":[0.9916918,0.003088016,0.0013057,0.0004380642,0.002575446,0.0009010002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000218148,0.0002211938,0.07088464,0.001104544,0.0001459629,0.0004438707,0.04575855,0.001189281,0.001041768,0.4885641,0.05353423,0.3368936],"study_design_scores_gemma":[0.00008048729,0.0003643538,0.1116704,0.002101578,0.0001642484,0.001241029,0.0900529,0.004326555,0.00195808,0.3014682,0.4863684,0.0002038177],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2892395,0.01526861,0.06947342,0.07541247,0.003456672,0.001264104,0.002139891,0.0004610149,0.5432843],"genre_scores_gemma":[0.9286222,0.003907723,0.03063697,0.00305249,0.0005456029,0.0006255986,0.0004760055,0.00009567355,0.03203771],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01051424,"threshold_uncertainty_score":0.03648156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03079299673916892,"score_gpt":0.2268793990903979,"score_spread":0.196086402351229,"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."}}