{"id":"W2834767118","doi":"10.1007/s12518-018-0232-4","title":"Digital preservation, social history, and the Quon Sang Lung Laundry building: a case study from Fort Macleod, Alberta, Canada","year":2018,"lang":"en","type":"article","venue":"Applied Geomatics","topic":"Cultural Heritage Management and Preservation","field":"Arts and Humanities","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Environment and Protected Areas; University of Calgary","funders":"","keywords":"Laundry; Social history (medicine); History; Historiography; Ethnic group; Immigration; Social media; Local history; Visual arts; Sociology; Archaeology; Political science; Anthropology; Art; Law; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001218417,0.0001395841,0.0001595359,0.00001974604,0.0006362152,0.0003102447,0.0001483464,0.00002517972,0.0005349533],"category_scores_gemma":[0.00002271983,0.00009988873,0.00002548292,0.00002827294,0.0002045891,0.0003099666,0.0001312506,0.00006144366,0.00000580441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001031417,"about_ca_system_score_gemma":0.0000354306,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7094201,"about_ca_topic_score_gemma":0.9566594,"domain_scores_codex":[0.9991761,0.00002283283,0.0002493557,0.0001671092,0.0002256406,0.0001589163],"domain_scores_gemma":[0.999414,0.0001855489,0.000122103,0.0001718979,0.00007590232,0.00003050427],"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":[0.000167483,0.0001327329,0.006803176,0.00009744895,0.0004305045,0.00006168807,0.3149752,0.000003196811,0.000007572482,0.3757782,0.2923712,0.009171696],"study_design_scores_gemma":[0.002156024,0.000052081,0.002968749,0.00001200038,0.0002585347,0.00000560988,0.07471523,0.004527252,0.000003945942,0.007805896,0.9071022,0.0003924925],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9118832,0.0000523626,0.00004301314,0.0005016908,0.000254972,0.000705153,0.00002026755,0.00003380099,0.08650555],"genre_scores_gemma":[0.9891852,8.420054e-7,0.00004344223,0.0004225641,0.0008313446,0.00006498129,0.00005730499,0.00001524383,0.009379076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.614731,"threshold_uncertainty_score":0.5857364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04080321652844227,"score_gpt":0.2146744238803903,"score_spread":0.173871207351948,"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."}}