{"id":"W2808653426","doi":"","title":"식품소비성향의 구조 변화 분석","year":2018,"lang":"ko","type":"article","venue":"농업경제연구","topic":"Nutrition, Health and Food Behavior","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Consumption (sociology); Food consumption; Economics; Government (linguistics); Agricultural economics; Geography; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006342282,0.0001205038,0.0001855883,0.0007182587,0.0003849273,0.000946392,0.0002520173,0.000200072,0.007832939],"category_scores_gemma":[0.003532145,0.00007978675,0.0002991939,0.001447299,0.0002510644,0.0006561296,0.0002589918,0.0004296104,0.001552908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000708553,"about_ca_system_score_gemma":0.0008409014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005911013,"about_ca_topic_score_gemma":0.005188401,"domain_scores_codex":[0.9995251,0.00007959975,0.00003012674,0.0001249225,0.0001567915,0.00008342387],"domain_scores_gemma":[0.997932,0.0007479394,0.0006967361,0.0001185914,0.000421136,0.0000836039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003618547,0.0003115376,0.7390888,0.0002691345,0.000151479,0.0004417458,0.001723221,0.004010874,0.002917116,0.0243184,0.004572108,0.2218339],"study_design_scores_gemma":[0.000009060193,0.0003734191,0.9622667,0.00005422437,0.00006852759,0.0002626292,0.002055325,0.008329378,0.002105297,0.007583288,0.01686284,0.00002939637],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9423362,0.001102293,0.01272998,0.00135808,0.0001208735,0.0001321641,0.00160146,0.00006866653,0.04055034],"genre_scores_gemma":[0.9907136,0.0004044372,0.001890453,0.00009373259,0.00004491052,0.00005031457,0.0008622038,0.00000686916,0.005933548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007832939,"threshold_uncertainty_score":0.02620381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03472366365611514,"score_gpt":0.3418642740799406,"score_spread":0.3071406104238255,"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."}}