{"id":"W4251102068","doi":"10.3138/topia.20.155","title":"Ardently Archiving","year":2008,"lang":"en","type":"article","venue":"TOPIA Canadian Journal of Cultural Studies","topic":"Digital and Cyber Forensics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.00006508876,0.00008440245,0.0001715376,0.00006426852,0.0002425048,0.00008091042,0.0004237877,0.00001315667,0.000005734615],"category_scores_gemma":[0.0000749458,0.0000553159,0.00009316691,0.0001270775,0.0001552983,0.0005462216,0.00004186174,0.0001019962,0.00001703486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006328688,"about_ca_system_score_gemma":0.0002161809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005932772,"about_ca_topic_score_gemma":0.006120297,"domain_scores_codex":[0.999325,0.00001397908,0.0002008516,0.00007651668,0.0001612862,0.0002223308],"domain_scores_gemma":[0.9992989,0.00002341668,0.00009293519,0.00008975025,0.0002376768,0.0002572735],"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":[0.00001271091,0.00004978183,0.04253672,0.0000530947,0.001063414,0.00650021,0.1092727,0.0003247838,0.0001206559,0.3437694,0.295522,0.2007745],"study_design_scores_gemma":[0.001141804,0.0007183098,0.1704214,0.0003774488,0.00005172195,0.01068746,0.00518138,0.0001060962,0.001143558,0.05878406,0.750373,0.001013717],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9475868,0.005914219,0.0007183967,0.005134963,0.001643948,0.00005358484,0.000002910513,0.00002284134,0.03892239],"genre_scores_gemma":[0.9946875,0.000166786,0.00199378,0.000325398,0.0001816322,4.145579e-7,1.594623e-7,0.000002406293,0.002641941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4548509,"threshold_uncertainty_score":0.3415269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04925044963561191,"score_gpt":0.2490003723157274,"score_spread":0.1997499226801155,"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."}}