{"id":"W6908035217","doi":"10.25549/chang-m26","title":"Letter from Eileen Chang to C.T. Hsia, 1966","year":2018,"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":"Miami; Chin; Quarter (Canadian coin); Cornish","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":[0.001168101,0.001256014,0.001043245,0.004150917,0.001422457,0.004154172,0.001161191,0.001079278,0.2431107],"category_scores_gemma":[0.01102472,0.0005025566,0.0004754725,0.009312877,0.0003861878,0.002848304,0.002319422,0.001538163,0.406498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001632573,"about_ca_system_score_gemma":0.002170554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02941911,"about_ca_topic_score_gemma":0.04959777,"domain_scores_codex":[0.9988269,0.0001578648,0.0001255398,0.0002839014,0.0004510413,0.0001548239],"domain_scores_gemma":[0.9956601,0.00086303,0.0003106938,0.0008888789,0.00179239,0.0004848072],"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":[0.000009980107,0.000001385835,0.00009423954,0.00002812291,9.783058e-7,0.000003213001,0.00000481108,0.000007099074,0.000005248775,0.00005099876,0.9989294,0.0008646171],"study_design_scores_gemma":[0.00003309424,0.000002424049,0.001261119,0.00006209848,0.00000208538,0.00001294312,0.00006314681,0.00004083516,0.00005829096,0.0001805406,0.9982768,0.000006582339],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001693415,0.0002072572,0.000066622,0.0009981876,0.0003999177,0.00001505717,0.9899009,0.0005455507,0.00769713],"genre_scores_gemma":[0.000960049,0.0002801295,0.0002334887,0.0004258388,0.0001451269,0.0001065307,0.9782187,0.0003321179,0.01929794],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2431107,"threshold_uncertainty_score":0.8132862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007733944464479737,"score_gpt":0.1620762346239107,"score_spread":0.154342290159431,"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."}}