{"id":"W2255415920","doi":"10.1080/17153379.2012.12556693","title":"Witness to Transformation: Refugee Insights into North Korea.","year":2012,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"Korean Peninsula Historical and Political Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Witness; Refugee; Political science; Transformation (genetics); History; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001834842,0.0003840273,0.000197532,0.0005937639,0.01174803,0.006265709,0.0007035191,0.00171695,0.007856127],"category_scores_gemma":[0.003004137,0.0002023117,0.0001425234,0.0009700805,0.01009414,0.008012244,0.005536346,0.006041148,0.0004340498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003069627,"about_ca_system_score_gemma":0.004451605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02421004,"about_ca_topic_score_gemma":0.0741374,"domain_scores_codex":[0.9991263,0.0004970079,0.00001970622,0.00005192848,0.0000450125,0.0002601535],"domain_scores_gemma":[0.9987993,0.0005017141,0.0001706162,0.00007461856,0.0001183284,0.0003353962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003922334,0.00003179943,0.003253067,0.00009797017,0.000007183886,0.001375137,0.8978135,0.00003642962,0.0001604324,0.0771823,0.01285719,0.007145753],"study_design_scores_gemma":[0.000002166463,0.000005615798,0.001852198,0.00008113001,0.000002746064,0.0001342038,0.9512038,0.00001829508,0.0000416873,0.002231931,0.04442135,0.000004911396],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6211643,0.006526883,0.0005438206,0.08366837,0.0007877817,0.00004546927,0.0001681846,0.00002295882,0.2870722],"genre_scores_gemma":[0.9840829,0.001826511,0.0000783622,0.004135928,0.00004337604,0.00001513917,0.00002834363,0.00001563318,0.009773748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02421004,"threshold_uncertainty_score":0.04813826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01994820768684274,"score_gpt":0.270103295431328,"score_spread":0.2501550877444852,"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."}}