{"id":"W2489351426","doi":"10.14288/1.0107450","title":"The acquisition of digital records at small and medium sized archives in Canada : survey research from InterPARES3","year":2016,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Digital and Traditional Archives Management","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Digital Archives; Computer science; World Wide Web","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":[0.002872474,0.0003339327,0.000495425,0.003825334,0.0083586,0.004382776,0.002158045,0.0007005405,0.004402664],"category_scores_gemma":[0.01259096,0.0006482243,0.0003774535,0.01164488,0.002261163,0.00160326,0.003410402,0.001268003,0.0006945222],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04753509,"about_ca_system_score_gemma":0.07311472,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9969598,"about_ca_topic_score_gemma":0.9988983,"domain_scores_codex":[0.9968035,0.0002859761,0.000248827,0.0003135572,0.001539797,0.0008083388],"domain_scores_gemma":[0.9805776,0.001940486,0.002120788,0.0005532799,0.01247515,0.002332711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001795856,0.0002010412,0.8757032,0.0002628276,0.00006729685,0.0003065273,0.08390608,0.0001585893,0.0008644486,0.0008606939,0.003657912,0.03383173],"study_design_scores_gemma":[0.000005266546,0.00004791787,0.8952273,0.00009772262,0.00002217447,0.00005301991,0.09852008,0.0001593481,0.0002241516,0.00004408591,0.00557244,0.00002650726],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914252,0.0005042612,0.0001886265,0.0005528074,0.000007686823,0.0001642066,0.002601166,0.00001189346,0.00454412],"genre_scores_gemma":[0.9897238,0.001046325,0.0005825378,0.0003662689,0.000005702635,0.00009627694,0.001714618,0.00001920062,0.0064454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9524649,"threshold_uncertainty_score":0.3448929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02809834357395674,"score_gpt":0.1774498355231863,"score_spread":0.1493514919492295,"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."}}