{"id":"W3130985321","doi":"","title":"2020 인구포럼 운영","year":2020,"lang":"ko","type":"book","venue":"한국보건사회연구원 eBooks","topic":"Korean Urban and Social Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Political science; Medicine; Internal medicine","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":[0.0002296233,0.001050997,0.001226421,0.00005315377,0.0009483281,0.0001816853,0.001157765,0.0007402092,0.007162233],"category_scores_gemma":[0.00008896025,0.001065922,0.0006990044,0.0001290259,0.00175435,0.00008808358,0.001395997,0.001258605,0.02535789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009607711,"about_ca_system_score_gemma":0.0002097204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003136127,"about_ca_topic_score_gemma":0.0003102959,"domain_scores_codex":[0.9953534,0.0001808752,0.0007030107,0.001452552,0.001216468,0.001093698],"domain_scores_gemma":[0.9979786,0.0001679578,0.0004440562,0.0006830167,0.00002735619,0.0006989911],"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":[0.00007378944,0.00006338888,0.001510045,0.0001613056,0.0004204335,0.000504688,0.006024703,0.000003844906,0.0003507014,0.005733652,0.9347707,0.05038274],"study_design_scores_gemma":[0.0005363571,0.0002502064,0.004261718,0.0001411715,0.0002502238,0.000009945816,0.0003501896,0.00002879723,0.0001341786,0.004578161,0.988259,0.001200035],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009386136,0.0007106863,0.00003426336,0.001782943,0.001249439,0.0009263497,0.000258174,0.0002341337,0.9938654],"genre_scores_gemma":[0.04761919,0.0005536461,0.0002624175,0.003994294,0.002404364,0.00006172972,0.00007337637,0.000191128,0.9448398],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05348831,"threshold_uncertainty_score":0.9991791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01543691065429179,"score_gpt":0.2027255451160664,"score_spread":0.1872886344617746,"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."}}