{"id":"W3118164651","doi":"10.33137/ijournal.v6i1.35265","title":"Dust-to-Digital: A Case Study","year":2020,"lang":"en","type":"article","venue":"The iJournal Student Journal of the Faculty of Information","topic":"Digital and Traditional Archives Management","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Digitization; Atlanta; Digital audio; Computer science; History; Telecommunications; Archaeology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002736537,0.0006559413,0.0004397691,0.001756581,0.01285331,0.004088528,0.002298771,0.006297766,0.005789659],"category_scores_gemma":[0.008312067,0.0004552191,0.000637945,0.002339939,0.004432159,0.002708214,0.004148818,0.003211857,0.0007040167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004489179,"about_ca_system_score_gemma":0.002851881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01775139,"about_ca_topic_score_gemma":0.04874313,"domain_scores_codex":[0.9967539,0.001409212,0.0001681021,0.0002762423,0.0007002906,0.0006921501],"domain_scores_gemma":[0.9956886,0.002567018,0.0004770338,0.0002675588,0.0003078984,0.0006919176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002901979,0.003135613,0.06266458,0.0008613472,0.00005885448,0.4770116,0.2611599,0.002965254,0.003053863,0.0882953,0.02546383,0.07503971],"study_design_scores_gemma":[0.00007012508,0.0004680892,0.01357368,0.0008390836,0.00005728875,0.153506,0.5998157,0.002847402,0.00395336,0.007210206,0.2175702,0.00008892371],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9132579,0.001920453,0.007401283,0.00978347,0.0002578657,0.0006582969,0.0002374195,0.00004657668,0.06643678],"genre_scores_gemma":[0.9642486,0.002708477,0.008052399,0.002149445,0.0001082297,0.0002857205,0.0001117309,0.00004038258,0.02229499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01775139,"threshold_uncertainty_score":0.03529614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04832399667088491,"score_gpt":0.2619966865684492,"score_spread":0.2136726898975642,"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."}}