{"id":"W1836460598","doi":"10.22230/src.2015v6n3a225","title":"The Museum as Knowledge Environment","year":2015,"lang":"en","type":"article","venue":"Scholarly and Research Communication","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Scholarship; Cultural heritage; Context (archaeology); Object (grammar); Representation (politics); Empiricism; Point (geometry); Dissemination; Knowledge representation and reasoning; World Wide Web; Computer science; History; Epistemology; Archaeology; Political science; Philosophy; 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":[],"consensus_categories":[],"category_scores_codex":[0.002026543,0.0002887609,0.0003746611,0.002078033,0.007372844,0.02137232,0.001271225,0.00298874,0.01563376],"category_scores_gemma":[0.002771663,0.000313568,0.0003126212,0.003099953,0.02494055,0.0163191,0.009593564,0.002247853,0.001562151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005189427,"about_ca_system_score_gemma":0.00622931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009108338,"about_ca_topic_score_gemma":0.01441987,"domain_scores_codex":[0.9973928,0.001479712,0.00009777935,0.0002668652,0.0003891843,0.0003736858],"domain_scores_gemma":[0.998192,0.0005799611,0.000156609,0.0004730632,0.0001841873,0.0004142029],"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":[0.000006328092,0.000006021177,0.0001602726,0.00004488944,0.000002930703,0.0001151874,0.009604827,0.0001081147,0.00006783703,0.9729457,0.005624389,0.0113134],"study_design_scores_gemma":[0.000006765818,0.00001555611,0.0004661506,0.0002824171,0.00000918439,0.0003236839,0.01091695,0.0001461271,0.000137975,0.1983688,0.7893079,0.00001854298],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0170433,0.01454118,0.007575975,0.01649703,0.0007275111,0.00004346548,0.0001676798,0.0002408102,0.943163],"genre_scores_gemma":[0.7915803,0.01361313,0.009624646,0.003190971,0.0008992352,0.0001057401,0.0001528993,0.0002169876,0.180616],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02137232,"threshold_uncertainty_score":0.05230016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.269324785238951,"score_gpt":0.3617967859055449,"score_spread":0.09247200066659389,"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."}}