{"id":"W4205829668","doi":"10.25071/10315/38629","title":"Mass Capture repository of scanned images","year":2021,"lang":"en","type":"article","venue":"York University Digital Library (York University)","topic":"Digital and Traditional Archives Management","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microform; Computer graphics (images); Residence; Library science; Computer science; Database; Information retrieval; Visual arts; Art; Genealogy; Geography; History; Demography; Sociology","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":[0.00133001,0.001430131,0.001442617,0.01414903,0.001773323,0.004367066,0.002664176,0.001335797,0.2053243],"category_scores_gemma":[0.004663294,0.0009281854,0.0006426733,0.01795733,0.0006681096,0.002517055,0.003054575,0.001365821,0.2056311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001498617,"about_ca_system_score_gemma":0.003028545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02254669,"about_ca_topic_score_gemma":0.05054595,"domain_scores_codex":[0.9983338,0.00009061316,0.0001606228,0.0003330951,0.000899234,0.0001826635],"domain_scores_gemma":[0.992175,0.0008130811,0.0004566566,0.002158802,0.003922878,0.0004735266],"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":[0.00024882,0.0001247032,0.002109342,0.0008642807,0.00005029445,0.0002831367,0.0001747995,0.0001969434,0.004367548,0.001270628,0.9066474,0.0836622],"study_design_scores_gemma":[0.00007425963,0.00007367752,0.03140314,0.0003816155,0.0000794903,0.0009619928,0.0005576932,0.001362904,0.007865838,0.001449219,0.9556703,0.0001199047],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003879038,0.0009986502,0.006475937,0.0002906776,0.000298245,0.0006573782,0.9382836,0.00845741,0.04065905],"genre_scores_gemma":[0.008304016,0.0008507414,0.01151333,0.0001411853,0.0002086485,0.0005448994,0.9506747,0.001331843,0.02643064],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2053243,"threshold_uncertainty_score":0.6868783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009666500817987762,"score_gpt":0.1297976387793564,"score_spread":0.1201311379613687,"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."}}