{"id":"W2189856847","doi":"10.22230/src.2015v6n4a208","title":"From Angel to Agile: The Business of the Digital Humanities","year":2015,"lang":"en","type":"article","venue":"Scholarly and Research Communication","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Agile software development; Digital humanities; General partnership; IBM; Watson; Business model; Relation (database); Business plan; Humanities; Management; Sociology; Computer science; Political science; Business; Art; Marketing; Economics; Database; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.004676084,0.000357068,0.0001883718,0.00124329,0.00445602,0.01189624,0.0006905188,0.001484179,0.004497016],"category_scores_gemma":[0.005948376,0.000244305,0.000215672,0.001501673,0.01755308,0.01344189,0.005531345,0.004544161,0.001089837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003924015,"about_ca_system_score_gemma":0.005664614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002782507,"about_ca_topic_score_gemma":0.00406285,"domain_scores_codex":[0.9968557,0.00193051,0.00007072736,0.000149696,0.0007273737,0.0002659755],"domain_scores_gemma":[0.9962488,0.002029654,0.0002665759,0.0003368577,0.0002719539,0.0008461759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000132477,0.000009793934,0.0002595231,0.00003708684,0.00000147416,0.0001163117,0.006022215,0.0001655957,0.00009703718,0.9621726,0.007289731,0.02381545],"study_design_scores_gemma":[0.000009700693,0.00003402441,0.0002830079,0.000321323,0.000002969019,0.0004032067,0.01755269,0.0007785106,0.00039792,0.3171674,0.6630284,0.00002081575],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04243672,0.02556097,0.08348653,0.134699,0.003314943,0.00006447875,0.000071934,0.0004276934,0.7099378],"genre_scores_gemma":[0.8540002,0.02752612,0.02938297,0.008593866,0.0009639908,0.000100693,0.00007660595,0.0002719592,0.07908366],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9881037,"threshold_uncertainty_score":0.02847081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2641678054596655,"score_gpt":0.3375175697514955,"score_spread":0.07334976429182999,"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."}}