{"id":"W7130938927","doi":"10.25549/garland-ouc11399mezw","title":"John Hodgdon Bradley, letter, 1936-08-11, to Hamlin Garland","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":"Obituary","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009436206,0.001254458,0.001519125,0.003475323,0.001646806,0.004913988,0.001786514,0.001889665,0.3202631],"category_scores_gemma":[0.008589699,0.0007384539,0.0005770395,0.009720867,0.0003887365,0.002880079,0.002085426,0.001761324,0.4441102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002574034,"about_ca_system_score_gemma":0.003728389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1162298,"about_ca_topic_score_gemma":0.2705274,"domain_scores_codex":[0.9991381,0.0001006099,0.00009623737,0.0002096056,0.000296069,0.0001592523],"domain_scores_gemma":[0.9960899,0.0008736143,0.0003194977,0.0004377131,0.001739933,0.0005392338],"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":[0.000007869513,0.000001232756,0.00008526904,0.00003357907,9.463623e-7,0.000002112241,0.00000339296,0.000007283782,0.000002847388,0.00007662707,0.9993227,0.0004562454],"study_design_scores_gemma":[0.00003615347,0.000002964512,0.001077338,0.0000931386,0.000002748574,0.000006513103,0.00005823936,0.00004309534,0.00003620872,0.0002720807,0.9983628,0.000008736683],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006095547,0.0001168946,0.00003268713,0.0004539955,0.0001085017,0.000005721523,0.9924207,0.0003083656,0.00649218],"genre_scores_gemma":[0.0004962237,0.0002138963,0.0001359515,0.0004217789,0.00004487847,0.00005047256,0.9767182,0.0002836721,0.02163493],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3202631,"threshold_uncertainty_score":0.9695622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007745635245892313,"score_gpt":0.1681377718652773,"score_spread":0.160392136619385,"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."}}