{"id":"W4392949397","doi":"10.32920/23978790.v2","title":"me-dérive: 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005345924,0.0005317056,0.0006147971,0.0001099865,0.0006776797,0.0006309825,0.0007840981,0.0001661128,0.03066169],"category_scores_gemma":[0.0001104859,0.0003332967,0.0006900989,0.00004158107,0.000487108,0.0001515355,0.001066226,0.001119305,0.001229045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005694157,"about_ca_system_score_gemma":0.0002208669,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.008703374,"about_ca_topic_score_gemma":0.06856994,"domain_scores_codex":[0.9973494,0.0002246376,0.0006359344,0.0007778333,0.0005952881,0.0004169057],"domain_scores_gemma":[0.9982036,0.0001713937,0.0002913376,0.0009899896,0.0002315579,0.0001121099],"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":[0.0000251257,0.00009488984,0.00003743201,0.0003980715,0.001197502,0.00004468586,0.2492075,0.00007586498,0.0001314808,0.1749786,0.562453,0.01135584],"study_design_scores_gemma":[0.0002062753,0.0000990405,0.000041724,0.0002365125,0.001102736,0.00000283634,0.06261158,0.003010927,0.0001797585,0.03362765,0.8977863,0.001094631],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.008647171,0.00948019,0.00003060217,0.002919407,0.007719545,0.0005210969,0.00015635,0.0004505624,0.9700751],"genre_scores_gemma":[0.6046263,0.0002615277,0.0002386282,0.0009496496,0.009128769,0.0001351389,0.0001391418,0.0001217349,0.3843991],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5959792,"threshold_uncertainty_score":0.9999119,"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."}}