{"id":"W4236422806","doi":"10.5334/kula.56","title":"Indigitization","year":2018,"lang":"en","type":"article","venue":"KULA knowledge creation dissemination and preservation studies","topic":"Digital and Traditional Archives Management","field":"Arts and Humanities","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Digitization; Indigenous; Library science; Work (physics); Special collections; Traditional knowledge; Cultural heritage; Columbia university; Sociology; Political science; Geography; Media studies; Engineering; Computer science; Archaeology; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001349519,0.000116339,0.0001122599,0.0001693478,0.0005320559,0.0002448285,0.00006368608,0.00001217678,0.0002352082],"category_scores_gemma":[0.0001744741,0.000100855,0.00002720288,0.00009328593,0.000422592,0.0007976805,0.00006408605,0.00003249992,0.0001363499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002280895,"about_ca_system_score_gemma":0.000007984343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004865867,"about_ca_topic_score_gemma":0.00009157446,"domain_scores_codex":[0.9992976,0.00003314404,0.0002197755,0.0001970406,0.0001450572,0.0001073355],"domain_scores_gemma":[0.9990283,0.0001800736,0.00008861486,0.00008590936,0.0005779432,0.00003910503],"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":[0.00001340311,0.00007404912,0.0004708872,0.0000559137,0.00006222634,1.506144e-7,0.09703389,5.028267e-7,0.00002049276,0.8326593,0.0167552,0.05285398],"study_design_scores_gemma":[0.0002157442,0.00008873726,0.0396869,0.0001115638,0.00003522836,8.128848e-7,0.004488943,0.0007764546,0.0002731502,0.06580459,0.8883259,0.0001919615],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07741494,0.000290098,0.0004990979,0.001340449,0.0003242986,0.0002161369,0.00002074866,0.0001253844,0.9197688],"genre_scores_gemma":[0.8416685,0.0001236244,0.00005943336,0.0001033348,0.000517674,0.00005828294,0.0002002358,0.000008765001,0.1572601],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8715707,"threshold_uncertainty_score":0.4112749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07008197446434929,"score_gpt":0.3334971492049316,"score_spread":0.2634151747405823,"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."}}