{"id":"W3161751668","doi":"10.1098/rsnr.2020.0068","title":"‘Just put it online’: the Taylor White project as a digitization case study","year":2021,"lang":"en","type":"article","venue":"Notes and Records the Royal Society Journal of the History of Science","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Digitization; Workflow; Computer science; Field (mathematics); World Wide Web; Metadata; Digital library; Process (computing); White paper; Data collection; Data science; Library science; Multimedia; Sociology; Database; Political science; Telecommunications; Law; Art; Social science","routes":{"ca_aff":false,"ca_fund":true,"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":[0.008766591,0.0005368236,0.0004020718,0.001848136,0.02170735,0.007246064,0.002737098,0.00404454,0.009752706],"category_scores_gemma":[0.01445335,0.0006067395,0.000375422,0.003466277,0.01677074,0.006917065,0.007230303,0.003811998,0.001732558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008699402,"about_ca_system_score_gemma":0.01108123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06288145,"about_ca_topic_score_gemma":0.1741107,"domain_scores_codex":[0.988529,0.007601123,0.0002083615,0.0007076541,0.002077058,0.0008768072],"domain_scores_gemma":[0.9916739,0.004549116,0.0005054493,0.001110092,0.0008932335,0.001268161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000790385,0.0004312429,0.003095806,0.0002622183,0.00001363309,0.01716859,0.6617874,0.0005859111,0.001660411,0.1926019,0.06358495,0.05872888],"study_design_scores_gemma":[0.00001761782,0.0001115065,0.001660325,0.0003683821,0.00001315334,0.004354204,0.3415544,0.0005261936,0.001827247,0.01143876,0.6380751,0.00005307899],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4596904,0.001889957,0.02740148,0.04664656,0.000673882,0.001228695,0.0006131986,0.0003116119,0.4615441],"genre_scores_gemma":[0.7683817,0.003100092,0.0434444,0.007070637,0.0002566619,0.001179125,0.0003203373,0.0006482505,0.1755989],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06288145,"threshold_uncertainty_score":0.1250309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02857917780917774,"score_gpt":0.2712025892048716,"score_spread":0.2426234113956938,"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."}}