{"id":"W4392949397","doi":"10.32920/23978790.v2","title":"me-dÃ©rive: toronto: Remediating the [AR]chival Impulse","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Oral History, Memory, Narrative Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Impulse (physics); Environmental science; Physics; Classical mechanics","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":[0.004121142,0.001006889,0.0004569987,0.001631787,0.03583033,0.01329505,0.002879229,0.00647,0.0465251],"category_scores_gemma":[0.01111826,0.0006935771,0.0005450529,0.001938925,0.02277144,0.005831454,0.01180447,0.01064064,0.006055202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0396085,"about_ca_system_score_gemma":0.06578091,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6865183,"about_ca_topic_score_gemma":0.8416737,"domain_scores_codex":[0.9956929,0.0009115528,0.0001162796,0.0004422497,0.0018705,0.0009664856],"domain_scores_gemma":[0.9948943,0.0009726351,0.0002605361,0.0008767919,0.001879045,0.001116774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008521602,0.00005438711,0.002190318,0.000294341,0.00002060911,0.002007262,0.1804993,0.000401677,0.001579426,0.238995,0.5033729,0.07049959],"study_design_scores_gemma":[0.000007516042,0.00001637836,0.001162285,0.0003618636,0.00001488689,0.0002492872,0.05725661,0.0002146321,0.0006435419,0.004742626,0.9352927,0.00003775018],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04825618,0.009350691,0.01069897,0.2244125,0.01001189,0.0001923116,0.0004746382,0.001785931,0.6948169],"genre_scores_gemma":[0.4044161,0.00713614,0.006035851,0.02964824,0.0006704899,0.0001673517,0.0002722297,0.001268745,0.5503848],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3134817,"threshold_uncertainty_score":0.6306556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03084708225045692,"score_gpt":0.2705617262999321,"score_spread":0.2397146440494752,"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."}}