{"id":"W2808572429","doi":"10.3897/biss.2.26305","title":"Developing a GIS of Hazards for Canadian Cultural Institutions","year":2018,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geographic information system; Natural hazard; Geography; Environmental resource management; Cultural heritage; Population; Mandate; Environmental planning; Cartography; Meteorology; Environmental science; Political science; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001036071,0.0009125464,0.0004582454,0.007662615,0.004361578,0.00478161,0.001970239,0.0004751934,0.01962278],"category_scores_gemma":[0.003414916,0.0006891647,0.001387075,0.01369129,0.0008709713,0.00190157,0.002819258,0.001064117,0.003308045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03570345,"about_ca_system_score_gemma":0.06054312,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9743128,"about_ca_topic_score_gemma":0.9818898,"domain_scores_codex":[0.998632,0.0001030028,0.00005764587,0.0001392482,0.0008464571,0.0002216713],"domain_scores_gemma":[0.9978104,0.0001327027,0.00007423473,0.0001285264,0.00163344,0.0002207951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001498213,0.0001308504,0.04237133,0.0008366437,0.0001161611,0.0006028306,0.006214451,0.05271808,0.004907667,0.09186942,0.3785603,0.4215225],"study_design_scores_gemma":[0.00004119172,0.00002944853,0.03854925,0.0003945299,0.00006678901,0.0001842084,0.005880774,0.03474563,0.002283833,0.009237924,0.9083575,0.0002290201],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.07461428,0.001530567,0.2642435,0.006434591,0.0004240518,0.004000301,0.2859852,0.01896811,0.3437994],"genre_scores_gemma":[0.1824622,0.001962646,0.6734481,0.0004462842,0.00004995266,0.001564295,0.08489668,0.001659555,0.05351031],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.03570345,"threshold_uncertainty_score":0.2590479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0629818879246742,"score_gpt":0.3398787538443095,"score_spread":0.2768968659196354,"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."}}