{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003358026,0.0003218733,0.0003747932,0.0001815918,0.0006356111,0.0001177298,0.0003065296,0.000397018,0.003487752],"category_scores_gemma":[0.00008462294,0.0003442205,0.0001620089,0.0004458782,0.0003430792,0.0002224584,0.00006073383,0.0004251341,0.008660244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000199811,"about_ca_system_score_gemma":0.0001366245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000348443,"about_ca_topic_score_gemma":0.0002200276,"domain_scores_codex":[0.9972798,0.0001598859,0.0005591971,0.0005733993,0.000400188,0.00102748],"domain_scores_gemma":[0.9982525,0.00007728898,0.0001780669,0.0006809379,0.0002871912,0.0005240503],"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":[0.002266859,0.002878251,0.07542283,0.001280964,0.00009011732,0.0001517131,0.007091011,5.220201e-7,0.01264288,0.001987431,0.5951495,0.301038],"study_design_scores_gemma":[0.003707215,0.0035168,0.1145472,0.0007884792,0.0003305606,0.0001034096,0.0006689607,0.0001399058,0.02105585,0.001940334,0.8522412,0.0009600145],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9500173,0.003226631,0.00007069184,0.01351463,0.01340927,0.0009308174,0.0001961753,0.0003315114,0.01830297],"genre_scores_gemma":[0.9862149,0.0001104862,0.0008265555,0.002906809,0.006043409,0.00002628052,0.00004785977,0.00008089106,0.003742803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.300078,"threshold_uncertainty_score":0.999901,"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."}}