{"id":"W7160095992","doi":"10.1353/esc.2022.a989012","title":"Digital Memory Agents in Canada: Performance, Representation, and Culture ed. by Matthew Cormier and Amanda Spallacci (review)","year":2022,"lang":"en","type":"article","venue":"English studies in Canada","topic":"Language and cultural evolution","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Digital culture; Cultural memory","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.002421479,0.001402243,0.002213622,0.004817178,0.002113787,0.005781491,0.002402031,0.002108336,0.005643153],"category_scores_gemma":[0.006370096,0.0006659634,0.0005880435,0.01089945,0.003645691,0.003585176,0.001742328,0.002582441,0.002065059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02714076,"about_ca_system_score_gemma":0.08379693,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8623594,"about_ca_topic_score_gemma":0.9077124,"domain_scores_codex":[0.9984499,0.0001813258,0.0001580352,0.0001205285,0.0008232491,0.0002668453],"domain_scores_gemma":[0.9941088,0.001076613,0.0004543856,0.0000700271,0.003645263,0.000644959],"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":[0.00008142861,0.00003363566,0.0009481249,0.01325602,0.0001111101,0.0001202407,0.001285584,0.0002321553,0.0001183624,0.005971455,0.5161653,0.4616767],"study_design_scores_gemma":[0.000018376,0.00002040942,0.005280286,0.01111196,0.0001211013,0.0002134863,0.001320634,0.00004511265,0.0001062386,0.0009031492,0.9808069,0.00005226615],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006416132,0.9961556,0.00001449937,0.002840923,0.0003418501,0.00000228758,0.00004681643,0.000002982625,0.000531044],"genre_scores_gemma":[0.00100899,0.9975152,0.00003642422,0.000509655,0.0002324456,0.000004821066,0.00004922254,0.000002649611,0.0006405975],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.1376406,"threshold_uncertainty_score":0.2769023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01727981745619373,"score_gpt":0.2788872950467967,"score_spread":0.2616074775906029,"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."}}