{"id":"W7164904060","doi":"10.1080/17153379.2020.12559540","title":"Producing Hiroshima and Nagasaki: Literature, Film, and Transnational Politics.","year":2020,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"Japanese History and Culture","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Politics; International relations","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":[0.0007324985,0.0003098864,0.0002182866,0.0009607482,0.00584501,0.004392741,0.0005105369,0.001053763,0.00563717],"category_scores_gemma":[0.002492511,0.0001710537,0.00009596258,0.002535124,0.005694769,0.003701132,0.002454792,0.001484932,0.0002177692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003152212,"about_ca_system_score_gemma":0.002572315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04137709,"about_ca_topic_score_gemma":0.1275767,"domain_scores_codex":[0.9997196,0.0001517405,0.00001148301,0.00003899798,0.0000271581,0.0000511206],"domain_scores_gemma":[0.9990575,0.000507205,0.0001549875,0.0000544646,0.0001091816,0.0001166631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001154543,0.0000461068,0.01047809,0.0006374287,0.00003573556,0.00311623,0.7132369,0.0001158761,0.001833134,0.1872682,0.02982752,0.05328935],"study_design_scores_gemma":[0.00001743299,0.00003540364,0.04625544,0.0005868099,0.00008671053,0.0003768535,0.5624548,0.0001229436,0.0006907861,0.01434862,0.3749974,0.00002675868],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4767928,0.06462128,0.0008509205,0.0558746,0.001006738,0.00002664257,0.0001454147,0.00003695897,0.4006447],"genre_scores_gemma":[0.970959,0.009545581,0.0002750983,0.0008735171,0.0001840008,0.00001653429,0.00003040184,0.00001418117,0.01810172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04137709,"threshold_uncertainty_score":0.08227253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01545845287559288,"score_gpt":0.2352513239719387,"score_spread":0.2197928710963458,"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."}}