{"id":"W1565647432","doi":"10.22230/src.2014v5n4a179","title":"Humanities Scholarship in a Vast Universe: Modelling integrated scholarly opportunities between scales of digital information and meaning","year":2014,"lang":"en","type":"article","venue":"Scholarly and Research Communication","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acadia University","funders":"","keywords":"Scholarship; Meaning (existential); Reading (process); Sandbox (software development); Computer science; World Wide Web; Digital scholarship; Data science; Human–computer interaction; Epistemology; Library science; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.004527785,0.0002053641,0.0003129123,0.001030315,0.001253933,0.01164172,0.000623771,0.0001374015,0.00004642713],"category_scores_gemma":[0.0008164074,0.0001943758,0.00004922964,0.0001693422,0.001383295,0.03798901,0.0006424792,0.001629875,0.00001102634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008748058,"about_ca_system_score_gemma":0.00009073326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005699115,"about_ca_topic_score_gemma":0.0009169831,"domain_scores_codex":[0.997429,0.0006495705,0.000614193,0.0002109759,0.0007123225,0.0003839183],"domain_scores_gemma":[0.9968753,0.0007282912,0.0001838941,0.0004863775,0.001595104,0.0001310269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006174239,0.00005046917,0.007485771,0.0001464247,0.00003417985,9.813205e-7,0.02672059,0.00001463986,0.00001367249,0.9185874,0.00004081042,0.04684328],"study_design_scores_gemma":[0.002528969,0.0009476513,0.01060418,0.002322886,0.00005428995,0.00001101186,0.2557437,0.002145378,0.0001410112,0.4927156,0.2317267,0.001058495],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8455431,0.0009549918,0.0001585278,0.0005236403,0.00003515818,0.0002968992,0.0001052842,0.0000634917,0.1523188],"genre_scores_gemma":[0.9976167,0.0008365656,0.0001992295,0.00004890806,0.00006087378,0.00001748882,0.0002372896,0.00002057475,0.0009623625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4258718,"threshold_uncertainty_score":0.9893843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2692206124186382,"score_gpt":0.3138938798976794,"score_spread":0.04467326747904121,"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."}}