{"id":"W4385948979","doi":"10.32920/23978790","title":"me-dérive: toronto: Remediating the [AR]chival Impulse","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Museums and Cultural Heritage","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; York University","funders":"","keywords":"Citizen journalism; Narrative; Sociology; Media studies; Mainstream; Power (physics); Embodied cognition; History; Aesthetics; Political science; Visual arts; Art; Law; Literature; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004656011,0.0008880211,0.0004364969,0.001707176,0.03452946,0.0136923,0.002851378,0.004292046,0.03319832],"category_scores_gemma":[0.01203635,0.0006124568,0.0004899529,0.00248954,0.02107812,0.006020633,0.01286542,0.006097192,0.00365337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05300465,"about_ca_system_score_gemma":0.07705143,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8003982,"about_ca_topic_score_gemma":0.9160396,"domain_scores_codex":[0.9958096,0.001084062,0.0001219644,0.0004739586,0.001681747,0.0008287944],"domain_scores_gemma":[0.9947644,0.001257563,0.0002374406,0.001105471,0.001810057,0.0008250323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001074389,0.0000358995,0.002503636,0.0003228282,0.00001847441,0.00194119,0.310611,0.0005913028,0.001587248,0.3943692,0.2177436,0.07016815],"study_design_scores_gemma":[0.000009920233,0.0000179099,0.001347355,0.0003240141,0.00002182502,0.0002266524,0.09943292,0.0003784693,0.0008794247,0.007596244,0.8897229,0.00004230838],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.09891587,0.006668812,0.01614599,0.134319,0.005500766,0.0002167653,0.0007978772,0.001471167,0.7359639],"genre_scores_gemma":[0.6710031,0.004635169,0.009028622,0.01028775,0.0004111352,0.0001649544,0.0004314743,0.001061023,0.3029768],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1996018,"threshold_uncertainty_score":0.4015545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07766515690427413,"score_gpt":0.278002871893565,"score_spread":0.2003377149892909,"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."}}