{"id":"W6963806934","doi":"10.20381/ruor-29332","title":"Future Horizons: Canadian Digital Humanities","year":2023,"lang":"en","type":"article","venue":"","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Digital humanities; Work (physics); Discipline; Digital Archives; The arts; Digital scholarship; Happening; Big data","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001963316,0.0007341268,0.0005057303,0.004507021,0.02548428,0.018101,0.001583607,0.001592708,0.05892155],"category_scores_gemma":[0.004014463,0.0004769415,0.0004254029,0.01047722,0.007427936,0.004314918,0.003992565,0.002617018,0.005946526],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1385222,"about_ca_system_score_gemma":0.2842097,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9836212,"about_ca_topic_score_gemma":0.9950653,"domain_scores_codex":[0.9976286,0.0001632663,0.00004488771,0.000166387,0.001459712,0.0005372158],"domain_scores_gemma":[0.9949381,0.0004303872,0.0001123752,0.0002139543,0.00242404,0.001881108],"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":[0.00001452508,0.0000106388,0.0008784201,0.0001995581,0.000004606415,0.000126435,0.00780088,0.0001073596,0.0001963273,0.09439228,0.8284604,0.06780859],"study_design_scores_gemma":[7.610469e-7,8.55912e-7,0.0005890538,0.0001005751,0.000001708741,0.00002180513,0.003050148,0.00002141722,0.00003865087,0.001590557,0.9945776,0.000006876866],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.008962835,0.04012369,0.002360713,0.07644518,0.006372171,0.0001451616,0.005369233,0.0006147123,0.8596064],"genre_scores_gemma":[0.08474012,0.04190588,0.005560676,0.008615351,0.0006937153,0.0001242202,0.003069108,0.0006834742,0.8546075],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9745157,"threshold_uncertainty_score":0.9991922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04814548912084152,"score_gpt":0.2107655931161886,"score_spread":0.162620103995347,"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."}}