{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001619099,0.00008909455,0.000181436,0.00001482522,0.0003570083,0.00001553419,0.0001031902,0.00001268924,0.000113161],"category_scores_gemma":[0.0002239213,0.00007681637,0.000009157498,0.0002424017,0.00006273574,0.0002044928,0.0001266666,0.0001441458,1.451985e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002246008,"about_ca_system_score_gemma":0.001040781,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9975024,"about_ca_topic_score_gemma":0.9998749,"domain_scores_codex":[0.9989513,0.00007535332,0.0001765887,0.0001864387,0.0003906601,0.0002196265],"domain_scores_gemma":[0.9997005,0.00004661879,0.00005774137,0.00006821262,0.00006678611,0.00006012217],"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":[0.000003935492,0.00000458879,0.113998,0.00006488238,0.00001631018,0.00004217497,0.01439646,0.00002540795,2.695191e-7,0.000005406965,0.8670606,0.00438195],"study_design_scores_gemma":[0.000436446,0.00001519398,0.03796902,0.0001179329,0.00001343542,0.000004035154,0.3407429,0.00001970392,0.000003118097,0.00001150243,0.6204419,0.0002248297],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9016529,0.08748399,3.001548e-8,0.0006710035,0.0006472676,0.0002753562,0.0000726616,0.000007173895,0.009189673],"genre_scores_gemma":[0.9492982,0.04667801,0.000002178345,0.0009735992,0.00007050585,0.00005364612,0.00002829004,0.000004177326,0.002891385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3263465,"threshold_uncertainty_score":0.5873234,"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."}}