{"id":"W7131428382","doi":"10.25549/prim-c46-270","title":"Mark Moody and Colonel Petr Unterberger on the Empress of Japan","year":2021,"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":"Pseudonym; Pacific ocean; Asia pacific; Work (physics); East Asia","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":[0.0006366756,0.0009251817,0.0009107089,0.00454177,0.001074542,0.002640632,0.001214502,0.001096514,0.1187892],"category_scores_gemma":[0.008081268,0.0004148026,0.0004662322,0.01082261,0.000307893,0.002394025,0.001690528,0.001011552,0.165564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009656335,"about_ca_system_score_gemma":0.002174206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.048339,"about_ca_topic_score_gemma":0.09441487,"domain_scores_codex":[0.9992823,0.00008708897,0.0000859873,0.0002403265,0.0001815159,0.0001227795],"domain_scores_gemma":[0.9967362,0.0006387252,0.0004241976,0.0004898528,0.001377525,0.0003334885],"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":[0.0000232781,0.000004456825,0.0009607813,0.0002500959,0.000005553988,0.000009820629,0.00001693946,0.00004482899,0.00001446759,0.0002158239,0.996255,0.002198852],"study_design_scores_gemma":[0.00004619377,0.000005664929,0.007776033,0.000344235,0.00001332242,0.00002491901,0.0001785193,0.0001009094,0.00008371803,0.0003344607,0.9910733,0.00001871696],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003262999,0.0002609822,0.00004259609,0.0003582598,0.00008220303,0.000007933289,0.9954549,0.0001053059,0.003361466],"genre_scores_gemma":[0.001127687,0.0003509808,0.0001428136,0.0001309138,0.00004153562,0.00005419736,0.992458,0.00008355802,0.005610321],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1187892,"threshold_uncertainty_score":0.3973894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007205303921233368,"score_gpt":0.1596562436857939,"score_spread":0.1524509397645606,"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."}}