{"id":"W6907958875","doi":"10.25549/kada-m7947","title":"Korean underground reports to CIA","year":2015,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); World War II; China; Work (physics)","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":[0.0007310002,0.001784773,0.001294365,0.008412484,0.000984473,0.004431322,0.002251063,0.001259986,0.204601],"category_scores_gemma":[0.008613267,0.0008465307,0.0009339934,0.02150583,0.0003843595,0.002650294,0.002180388,0.001831582,0.2902616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002621051,"about_ca_system_score_gemma":0.005184061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06504659,"about_ca_topic_score_gemma":0.08817343,"domain_scores_codex":[0.998614,0.0001272049,0.0002744671,0.0003652909,0.0003691598,0.0002498107],"domain_scores_gemma":[0.9941954,0.0006855094,0.0008496389,0.001173971,0.002510765,0.0005847022],"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":[0.00002521615,0.000005553275,0.0006064589,0.0003512944,0.00001133143,0.00001166029,0.00001446074,0.0000493375,0.0000201116,0.0003695263,0.9971432,0.001391749],"study_design_scores_gemma":[0.00004726699,0.000004934304,0.003267402,0.0002461074,0.0000128656,0.00002296842,0.0001129953,0.00004903748,0.0001182144,0.0002718122,0.995834,0.00001238623],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007527739,0.0000848165,0.000017267,0.00005563755,0.0000230639,0.000005185319,0.9975832,0.0001395915,0.002016127],"genre_scores_gemma":[0.0003591958,0.0001267173,0.00006599024,0.00003804402,0.00001138343,0.00003241777,0.9968081,0.0000767048,0.00248149],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.204601,"threshold_uncertainty_score":0.6844584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01110334628362193,"score_gpt":0.1796494101671206,"score_spread":0.1685460638834987,"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."}}