{"id":"W2205793472","doi":"","title":"노인의 가사노동 기여도에 대한 비교문화적 연구","year":2005,"lang":"ko","type":"article","venue":"한국가정관리학회지","topic":"Korean Urban and Social Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Time-use survey; Work (physics); Productivity; Survey data collection; Demographic economics; Welfare; Official statistics; Paid work; Economic growth; Economics; Statistics","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":[0.009624016,0.0003113336,0.0003585335,0.0007050799,0.005596412,0.005737714,0.001158468,0.003016105,0.002437267],"category_scores_gemma":[0.01098485,0.0001370563,0.0002735985,0.0006850227,0.02716595,0.007140984,0.003628859,0.008390068,0.0006307885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002761664,"about_ca_system_score_gemma":0.004437435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01561859,"about_ca_topic_score_gemma":0.03105773,"domain_scores_codex":[0.9970168,0.001490009,0.000138114,0.0004297181,0.0006492411,0.0002760386],"domain_scores_gemma":[0.9911056,0.005418386,0.0007642435,0.0006279416,0.00156731,0.0005165499],"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":[0.00004516271,0.00005072882,0.004119005,0.0001511068,0.00001122779,0.0002482225,0.06984033,0.0001692429,0.0003720381,0.8391974,0.05382864,0.03196693],"study_design_scores_gemma":[0.00001674231,0.0001001475,0.004862451,0.0004197001,0.00002222605,0.0005166329,0.08921562,0.0004228107,0.0009158922,0.1646555,0.7387991,0.00005313184],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.07314776,0.01033693,0.01572227,0.7854318,0.01021563,0.00003289452,0.00008680713,0.0000681721,0.1049578],"genre_scores_gemma":[0.7657132,0.009212448,0.007856638,0.1848105,0.005075158,0.0000886879,0.00006267783,0.00009999445,0.0270807],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01561859,"threshold_uncertainty_score":0.0508973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01193368347306116,"score_gpt":0.2195566767365989,"score_spread":0.2076229932635377,"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."}}