{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003127556,0.0004781345,0.0004602512,0.003077684,0.00906452,0.008846992,0.00238637,0.001401765,0.09210604],"category_scores_gemma":[0.008459383,0.0005049081,0.0003019137,0.004006014,0.003800165,0.002534206,0.008922429,0.003714745,0.01775627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01611426,"about_ca_system_score_gemma":0.04694004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2688681,"about_ca_topic_score_gemma":0.4739249,"domain_scores_codex":[0.9973053,0.0004078283,0.00008142111,0.0003053695,0.001129537,0.000770572],"domain_scores_gemma":[0.9933651,0.0006055619,0.0002017734,0.001559491,0.002315433,0.001952607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002313638,0.0001371547,0.007846468,0.00064128,0.00001416729,0.001250656,0.04070811,0.0002455516,0.004565165,0.1358569,0.5040313,0.3044719],"study_design_scores_gemma":[0.000006955812,0.00001136884,0.002611326,0.0001706035,0.000004124186,0.0001368074,0.004152569,0.00009065754,0.0003844476,0.001645188,0.9907711,0.00001482491],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03208486,0.001599296,0.004131181,0.005297414,0.0006441682,0.0008269777,0.002351712,0.002080357,0.9509841],"genre_scores_gemma":[0.151302,0.002276608,0.01319653,0.00335535,0.0001472177,0.001318126,0.005453994,0.001853005,0.8210972],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2688681,"threshold_uncertainty_score":0.5346062,"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."}}