{"id":"W2945073256","doi":"","title":"Bancroft Oral History Transcript","year":2009,"lang":"en","type":"other","venue":"Minds at UW (University of Wisconsin)","topic":"Oral History, Memory, Narrative Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Biology; History","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00009110651,0.0003750365,0.0008010151,0.0007463972,0.0002517682,0.00001255832,0.0004246058,0.0002582401,0.1734824],"category_scores_gemma":[0.000005269973,0.0004569915,0.0004931796,0.00006189106,0.001566257,0.0001682864,0.00004490439,0.0002502914,0.0008101448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007174417,"about_ca_system_score_gemma":0.0001727266,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004590547,"about_ca_topic_score_gemma":0.07706124,"domain_scores_codex":[0.9986079,0.0001072701,0.0001786288,0.0004822089,0.0003247835,0.0002992134],"domain_scores_gemma":[0.9988841,0.00001741683,0.0003820743,0.0004958541,0.00009501681,0.0001255321],"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":[0.00004721035,0.0000908562,0.00001123908,0.00005866061,0.0002663354,0.00009246003,0.02608223,3.434391e-7,0.0001243075,0.001651999,0.9674186,0.004155744],"study_design_scores_gemma":[0.0005918388,0.0001296998,0.00002140299,0.0001119485,0.0005247639,0.000002317571,0.005647611,0.000008183734,0.00001376535,0.00004077146,0.9924402,0.000467494],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00122111,0.01015102,0.00002785195,0.0004962413,0.0008712814,0.0001959615,0.0002267334,0.000137803,0.986672],"genre_scores_gemma":[0.005683423,0.0001394887,0.0003007753,0.0001918595,0.0003066518,2.030803e-7,0.0001157759,0.0001414721,0.9931204],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1726723,"threshold_uncertainty_score":0.9999678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03233849712775728,"score_gpt":0.1771644823630276,"score_spread":0.1448259852352703,"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."}}