{"id":"W7164911367","doi":"10.1080/17153379.2019.12559338","title":"Red at Heart: How Chinese Communists Fell in Love with the Russian Revolution.","year":2019,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"Soviet and Russian History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Fell; Chinese people; China","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005787127,0.0001329183,0.0001896157,0.00006316995,0.0003760702,0.00004653162,0.0003207667,0.0001032958,0.0007162662],"category_scores_gemma":[0.00002740276,0.00008145485,0.0000695511,0.0004346714,0.0005044026,0.0001481603,0.00005424598,0.0002430053,0.001337655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003791972,"about_ca_system_score_gemma":0.0001171519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005165103,"about_ca_topic_score_gemma":0.007189257,"domain_scores_codex":[0.9986644,0.0003340541,0.0001052378,0.0002156633,0.000335041,0.0003456305],"domain_scores_gemma":[0.9991995,0.0001272503,0.00008003828,0.0004819898,0.00001566737,0.00009553311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002950839,0.0001992468,0.4760568,0.00005999129,0.00004534078,0.00002848012,0.3396776,0.00003323193,0.0003095667,0.02423138,0.1587532,0.0003100855],"study_design_scores_gemma":[0.0007787277,0.00008665205,0.1402516,0.00007151619,0.00001072472,0.000006248099,0.3663143,0.00006389793,0.000006483659,0.0004952963,0.4915416,0.0003729424],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02892714,0.0006006267,0.000004262083,0.03226921,0.0003883672,0.0003972253,0.000003789538,0.00005318346,0.9373562],"genre_scores_gemma":[0.9469391,0.00006706334,0.000103664,0.00003232415,0.000114211,0.000007767657,0.00000500483,0.00001536552,0.05271548],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.918012,"threshold_uncertainty_score":0.9994399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007636548562012023,"score_gpt":0.2281441643870372,"score_spread":0.2205076158250252,"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."}}