{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006405863,0.0001285159,0.0001674721,0.00003304522,0.0007801868,0.0006829501,0.0001070128,0.00002969048,0.0003175],"category_scores_gemma":[0.0005145944,0.00007244513,0.00004735504,0.00003552346,0.0003055069,0.0005355519,0.00009523719,0.00006937108,0.00002095104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001675904,"about_ca_system_score_gemma":0.0000083954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006466609,"about_ca_topic_score_gemma":0.001950749,"domain_scores_codex":[0.9992411,0.0001205429,0.0002116585,0.0001900009,0.0001208095,0.0001158842],"domain_scores_gemma":[0.9958771,0.003427675,0.0001123808,0.0001503615,0.0004114239,0.00002101705],"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":[0.00003859686,0.00002461374,0.004419565,0.00004164636,0.0000869222,1.512768e-8,0.2690379,5.590937e-7,0.000007142513,0.709206,0.01125591,0.005881117],"study_design_scores_gemma":[0.0006666704,0.00001966393,0.02279284,0.0001965999,0.00007311732,1.85373e-7,0.08379553,0.001059281,0.00001953973,0.01573107,0.8755003,0.0001452495],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5885901,0.01862026,0.00009037769,0.02620315,0.0007602203,0.001687858,0.0002037564,0.0001116297,0.3637326],"genre_scores_gemma":[0.7850899,0.000234699,0.00001070893,0.0002387116,0.000282776,0.00008863591,0.00005006312,0.00001181008,0.2139927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8642443,"threshold_uncertainty_score":0.6585704,"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."}}