{"id":"W4200199403","doi":"10.32920/ryerson.14645901.v2","title":"Developing A Collection Policy : Photographic And Digital Archives At The National Library In Chile","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Photographic and Visual Arts","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Perspective (graphical); Digital library; Digital collections; Library science; Field (mathematics); National library; National archives; Institution; Political science; Collection development; Focus (optics); National Policy; Public administration; Computer science; Visual arts; Art; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.008803746,0.000240244,0.0003670022,0.001316615,0.008151926,0.01468419,0.002850975,0.002934762,0.01519921],"category_scores_gemma":[0.01717471,0.0005109826,0.0003431552,0.002997045,0.008096583,0.01072086,0.007726324,0.003475904,0.001048406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0674633,"about_ca_system_score_gemma":0.1064528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2584984,"about_ca_topic_score_gemma":0.2356011,"domain_scores_codex":[0.9932903,0.003195567,0.0003186638,0.0004966114,0.001068343,0.001630548],"domain_scores_gemma":[0.991986,0.003124904,0.001080644,0.0005914948,0.001480233,0.001736751],"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":[0.000116139,0.0003448467,0.0191449,0.0006210846,0.00002956546,0.001257937,0.02865933,0.007724429,0.0005720123,0.8747893,0.02768024,0.03906016],"study_design_scores_gemma":[0.0002298401,0.0001728958,0.04101905,0.001727347,0.00006589915,0.0003436807,0.1997533,0.01016262,0.002492808,0.1511424,0.5926947,0.0001954989],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.3938494,0.003182158,0.006419009,0.160501,0.0002246474,0.0007162386,0.0007563386,0.0001613106,0.4341899],"genre_scores_gemma":[0.9180943,0.001627902,0.004230693,0.002706471,0.00007099165,0.0003607642,0.0002406114,0.00004776346,0.07262047],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.2584984,"threshold_uncertainty_score":0.5139875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0471557313027836,"score_gpt":0.2662948516016841,"score_spread":0.2191391202989005,"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."}}