{"id":"W6948540901","doi":"10.48660/23040157","title":"Grad Student Seminar with Hank Chen","year":2023,"lang":"en","type":"other","venue":"PIRSA","topic":"Memory, History, Trauma, Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Chen; George (robot); Class (philosophy); Work (physics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007873193,0.0006993199,0.0005539149,0.0008243085,0.003628611,0.003087925,0.0008080339,0.001571503,0.5178131],"category_scores_gemma":[0.001063263,0.0002345357,0.0003762458,0.000589518,0.0005766527,0.002745043,0.003292606,0.002185924,0.2231084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001706636,"about_ca_system_score_gemma":0.002668377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00462916,"about_ca_topic_score_gemma":0.01881629,"domain_scores_codex":[0.9997532,0.00003802333,0.000007436915,0.00004994812,0.000076504,0.00007498423],"domain_scores_gemma":[0.9989957,0.00006080812,0.00001615001,0.00002854662,0.0002031053,0.0006957157],"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":[0.0000173596,0.00004502142,0.0001356852,0.00002035801,0.000001118756,0.00004544923,0.0001239401,0.00001916677,0.00005833921,0.003639532,0.9790044,0.01688963],"study_design_scores_gemma":[0.000005466516,0.00001218824,0.0005307872,0.00004304647,0.000001703745,0.00003774033,0.0006618056,0.00005080062,0.00006263571,0.001695941,0.9968948,0.000003151373],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003277429,0.003246744,0.000590509,0.03847296,0.01682542,0.00008670344,0.001247924,0.0005240543,0.9357283],"genre_scores_gemma":[0.002574606,0.0003403507,0.0001001563,0.001063472,0.0005476979,0.00001829191,0.0001535687,0.0001142255,0.9950877],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5178131,"threshold_uncertainty_score":0.6877811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0335873344613184,"score_gpt":0.2489472337525922,"score_spread":0.2153598992912738,"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."}}