{"id":"W2915811435","doi":"10.5334/kula.46","title":"Living Labs and the DH Centre: Lessons for Each from the Other","year":2019,"lang":"en","type":"article","venue":"KULA knowledge creation dissemination and preservation studies","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Living lab; Scholarship; Function (biology); Assisted living; Sociology; Open innovation; Public relations; World Wide Web; Computer science; Knowledge management; Political science; Medicine; Gerontology","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":[0.03155621,0.001285312,0.001438561,0.003732719,0.01365124,0.03070646,0.005010907,0.01762861,0.02250368],"category_scores_gemma":[0.04054085,0.0006037606,0.00174005,0.002889953,0.03751453,0.07205613,0.03086015,0.02416139,0.005333422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01059485,"about_ca_system_score_gemma":0.02621847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01061776,"about_ca_topic_score_gemma":0.01895385,"domain_scores_codex":[0.9751857,0.01606226,0.0007048131,0.001750657,0.003085607,0.003210902],"domain_scores_gemma":[0.9174871,0.04126995,0.0018655,0.006390071,0.01005193,0.0229354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002127589,0.0003267234,0.002287237,0.001237827,0.00004381441,0.0007445726,0.03666064,0.0003146111,0.0002003338,0.602338,0.1730438,0.1825897],"study_design_scores_gemma":[0.00005271702,0.0001620707,0.0008501781,0.002978429,0.00002130054,0.0005999733,0.07176714,0.0002881388,0.000231053,0.1984338,0.7245116,0.0001036938],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.005130575,0.04872677,0.007750362,0.8670997,0.009188408,0.00009682414,0.00009989891,0.0002002722,0.06170718],"genre_scores_gemma":[0.350874,0.1380007,0.03010357,0.3744354,0.01821595,0.000905029,0.000320892,0.001146385,0.08599793],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9692935,"threshold_uncertainty_score":0.1668872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0861438351701139,"score_gpt":0.3351059487375193,"score_spread":0.2489621135674054,"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."}}