{"id":"W3160299235","doi":"10.16995/dscn.377","title":"Collaborating with GLAM Institutions","year":2021,"lang":"en","type":"article","venue":"Digital Studies / Le champ numérique","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Simon Fraser University; University of Victoria; McGill University; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"University of Victoria; McGill University","keywords":"Library science; Scholarship; The Renaissance; Special collections; Art; Digital collections; Digital library; Humanities; Art history; Sociology; Political science; Literature; Poetry; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01248964,0.0005348363,0.0005705392,0.00372665,0.02260535,0.02535041,0.002889519,0.003304243,0.0283583],"category_scores_gemma":[0.02150516,0.0004237944,0.0005553905,0.00500591,0.01233204,0.01700908,0.04556858,0.004091,0.00528034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01030214,"about_ca_system_score_gemma":0.01172177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005918605,"about_ca_topic_score_gemma":0.01438067,"domain_scores_codex":[0.977847,0.01484829,0.0005565504,0.001436247,0.002474813,0.00283715],"domain_scores_gemma":[0.9839663,0.004815633,0.002001465,0.002394689,0.001552623,0.005269248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005166373,0.00009863002,0.01227034,0.0002857013,0.00002951632,0.0009075191,0.8052737,0.00009001759,0.0007669354,0.08520327,0.02523181,0.06979087],"study_design_scores_gemma":[0.000009552146,0.00004656985,0.003381565,0.0003661997,0.00001505371,0.0005452289,0.4114688,0.00009530586,0.0003552158,0.01022119,0.5734712,0.00002415406],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4413308,0.007264308,0.01173833,0.06684774,0.001041765,0.0001954023,0.0001831326,0.0008922495,0.4705062],"genre_scores_gemma":[0.9102228,0.002054014,0.005074648,0.00537882,0.0003014969,0.0001498781,0.00009080273,0.0002741148,0.07645341],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0283583,"threshold_uncertainty_score":0.094868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08353301959933798,"score_gpt":0.2674185763642568,"score_spread":0.1838855567649188,"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."}}