{"id":"W2969566359","doi":"10.28925/1609-8595.2019.2.5862","title":"DIGITAL HUMANITIES IN HIGHER EDUCATION SYSTEM OF CANADA","year":2019,"lang":"en","type":"article","venue":"Continuing Professional Education Theory and Practice","topic":"Library Science and Information","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Digital humanities; Manifesto; Library science; Digital library; Sociology; Object (grammar); Information science; Political science; Humanities; Computer science; Art","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":[0.0009480887,0.0002610581,0.0002931573,0.003224006,0.01216034,0.006524644,0.001374574,0.0008117286,0.02144287],"category_scores_gemma":[0.004058341,0.0002401759,0.0002567786,0.009198008,0.00153671,0.001084291,0.002601566,0.001220494,0.001620242],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1073392,"about_ca_system_score_gemma":0.2816022,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9914546,"about_ca_topic_score_gemma":0.9952676,"domain_scores_codex":[0.9971092,0.0001393131,0.0000860646,0.0002230614,0.0008422553,0.001600048],"domain_scores_gemma":[0.9909842,0.000401993,0.0002998835,0.0001143589,0.003783498,0.004416106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002683587,0.0002735462,0.2056512,0.001009791,0.0000578069,0.002950537,0.02214233,0.001364085,0.001344937,0.1908842,0.2952618,0.2787915],"study_design_scores_gemma":[0.00002167254,0.00004002525,0.3254558,0.0003719084,0.0000221051,0.0004479661,0.02716467,0.001074516,0.0005126761,0.001974633,0.6428429,0.00007109991],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4375941,0.008805631,0.001164265,0.03178829,0.0006777119,0.0004738235,0.01374288,0.0005352427,0.5052181],"genre_scores_gemma":[0.7895327,0.004320934,0.001936791,0.002419441,0.00006354941,0.00009595272,0.0039034,0.0000702807,0.197657],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8926607,"threshold_uncertainty_score":0.7788044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01149612603992351,"score_gpt":0.256719635876161,"score_spread":0.2452235098362375,"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."}}