{"id":"W4254040071","doi":"10.22215/etd/2021-14570","title":"Climate Change and Architectural Conservation Resiliency: How to Measure Environmental Impacts on Historic Sites and their Surrounding Communities","year":2021,"lang":"en","type":"dissertation","venue":"","topic":"Conservation Techniques and Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Parks Canada","keywords":"Climate change; Adaptability; Environmental resource management; National park; Government (linguistics); Scale (ratio); Environmental planning; Geography; Architectural engineering; Peninsula; Built environment; Architecture; Civil engineering; Engineering; Archaeology; Environmental science; Cartography; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001718058,0.0003176832,0.0003458457,0.0002086868,0.0008446478,0.0003724286,0.00007912661,0.000081979,0.0001685124],"category_scores_gemma":[0.00003231178,0.0002506004,0.00005664345,0.00003093416,0.0001061601,0.0001778423,0.00006485764,0.0002128239,0.000001885148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009066907,"about_ca_system_score_gemma":0.00001380272,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001279102,"about_ca_topic_score_gemma":0.06089348,"domain_scores_codex":[0.999102,0.00008679667,0.0001937023,0.0002296214,0.0001672148,0.0002206441],"domain_scores_gemma":[0.9993634,0.000199161,0.0001300326,0.0001805773,0.00006414201,0.00006273765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003214262,0.0001091777,0.01328495,0.0008933703,0.000167691,0.000007378154,0.8806641,1.1365e-7,0.001717258,0.04732811,0.007658616,0.04784787],"study_design_scores_gemma":[0.0006699931,0.001097803,0.1277511,0.001990564,0.00015959,0.00001852349,0.7404626,0.0001080804,0.001430053,0.001316726,0.123295,0.001700026],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846659,0.003567442,0.000001863526,0.002154571,0.000267528,0.0004728948,0.0001642912,0.0001036224,0.008601877],"genre_scores_gemma":[0.9865159,0.00182835,0.00004123125,0.0009397907,0.0001859472,0.0001175896,0.0009200757,0.00003155213,0.009419547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1402014,"threshold_uncertainty_score":0.9999946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08717757417748877,"score_gpt":0.2489817464165206,"score_spread":0.1618041722390318,"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."}}