{"id":"W4393971208","doi":"10.7202/1108084ar","title":"Be Kind Rewind","year":2023,"lang":"en","type":"article","venue":"Archivaria","topic":"Digital and Traditional Archives Management","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004750951,0.00007476493,0.00006633525,0.0001046859,0.0001564413,0.0001416543,0.0001352799,0.000003111052,0.0007403888],"category_scores_gemma":[0.000008375841,0.00006290106,0.00005417864,0.00003917127,0.0001269867,0.0001514591,0.00009314237,0.00005163283,0.002293009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003995618,"about_ca_system_score_gemma":0.000006303764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003159224,"about_ca_topic_score_gemma":0.000007743452,"domain_scores_codex":[0.9994153,0.00001290363,0.0001016168,0.0001435547,0.0001397533,0.0001868129],"domain_scores_gemma":[0.9997225,0.00007894685,0.00001985746,0.0001216027,0.000007603308,0.00004943615],"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":[0.000006221371,0.00004265774,0.000008875076,0.000008953829,0.00002827593,0.00001996376,0.003284221,0.000006011405,0.00002602696,0.940877,0.04611257,0.009579247],"study_design_scores_gemma":[0.00006734132,0.00003138163,0.00628801,0.000005378722,0.000004196434,6.281997e-7,0.0001003026,0.00004436356,0.000006860155,0.494218,0.4991745,0.00005905173],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01237392,0.00000137691,0.0000224392,0.003137374,0.0003380898,0.00008043005,0.000109164,0.0001937786,0.9837434],"genre_scores_gemma":[0.9410987,0.000003249935,0.00005736221,0.0006976312,0.0004021251,0.00001521069,0.0002090244,0.0000115121,0.05750514],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9287248,"threshold_uncertainty_score":0.9984838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05950153264506047,"score_gpt":0.2231770473567156,"score_spread":0.1636755147116551,"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."}}