{"id":"W3153300584","doi":"","title":"Oral History with Kurt Maly","year":2020,"lang":"en","type":"article","venue":"University of Minnesota Digital Conservancy (University of Minnesota)","topic":"Oral History, Memory, Narrative Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University; Strong; University of Minnesota; National Science Foundation","keywords":"Psychology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[],"category_scores_codex":[0.0000920926,0.000354169,0.0007927981,0.000317111,0.0003821539,0.00002924814,0.0008431674,0.0001146479,0.006391198],"category_scores_gemma":[0.00003719889,0.0004432639,0.0004115167,0.0002476735,0.002458695,0.002264746,0.0002161805,0.0002330997,0.0002366851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002718494,"about_ca_system_score_gemma":0.0003097281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001465732,"about_ca_topic_score_gemma":0.005270906,"domain_scores_codex":[0.9982392,0.00008843488,0.0002307004,0.0005880822,0.0004942523,0.0003593875],"domain_scores_gemma":[0.9980074,0.0001006822,0.0005062369,0.0004294666,0.0006470136,0.0003092304],"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":[0.006584029,0.001589573,0.02114723,0.001111055,0.002477908,0.002295284,0.3249711,0.00009091295,0.001415481,0.0343283,0.5946803,0.009308854],"study_design_scores_gemma":[0.001885983,0.0007060739,0.0007881125,0.00007955506,0.0003987552,0.000006063008,0.108431,0.000212561,0.00003551142,0.00004162491,0.8868902,0.0005245514],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8154194,0.0009192617,0.0005472865,0.006226168,0.0002229953,0.0003962873,0.0005634695,0.0001956697,0.1755094],"genre_scores_gemma":[0.9596415,0.00008267727,0.0007583906,0.0002120773,0.00006952525,5.471393e-8,0.00009619351,0.00003377122,0.03910583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2922099,"threshold_uncertainty_score":0.9998019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03395225921557354,"score_gpt":0.1605207595939761,"score_spread":0.1265685003784026,"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."}}