{"id":"W2973001465","doi":"10.11575/prism/36798","title":"Questions of Trace: Presence, Politics, and Virtual Necromancy in Canadian Literary Archives","year":2019,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"TRACE (psycholinguistics); Politics; History; Political science; Literature; Art; Philosophy; Linguistics; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004695247,0.0005582639,0.0004973222,0.005066984,0.04740195,0.02888926,0.002469435,0.002165347,0.005909977],"category_scores_gemma":[0.01500733,0.0004683271,0.0003149874,0.007095139,0.059689,0.007371183,0.007260794,0.003243935,0.0002696884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.136007,"about_ca_system_score_gemma":0.09152339,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9424275,"about_ca_topic_score_gemma":0.9630973,"domain_scores_codex":[0.9956418,0.00144174,0.0001149244,0.0004603861,0.001372929,0.0009683213],"domain_scores_gemma":[0.9910217,0.004664324,0.0006619121,0.0006594431,0.001960774,0.001031913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005213116,0.00002390262,0.003868175,0.00009647411,0.00001036498,0.0004725555,0.7336475,0.0003128669,0.0003682485,0.2343124,0.004937238,0.02189806],"study_design_scores_gemma":[0.00000923024,0.00001511683,0.007715984,0.000363792,0.00002633926,0.000213756,0.8227744,0.0003993077,0.0006580891,0.01993217,0.1478223,0.00006971249],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.635793,0.004631793,0.003173577,0.02541015,0.0002706725,0.00008565513,0.0001921388,0.0000951343,0.3303479],"genre_scores_gemma":[0.9895869,0.0006992283,0.0003961659,0.0002253882,0.00002305681,0.00001703314,0.00002622296,0.00002947734,0.008996501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.136007,"threshold_uncertainty_score":0.9868044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03284147536520952,"score_gpt":0.2759415762875028,"score_spread":0.2431001009222933,"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."}}