{"id":"W2118855215","doi":"10.1002/wsb.564","title":"Data and information management for the monitoring of biodiversity in Alberta","year":2015,"lang":"en","type":"article","venue":"Wildlife Society Bulletin","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Alberta Museum; Alberta Innovates; Alberta Biodiversity Monitoring Institute; University of Alberta","funders":"Alberta Biodiversity Monitoring Institute","keywords":"Terminology; Biodiversity; Data collection; Environmental resource management; Consistency (knowledge bases); Data management; Wildlife; Scale (ratio); Computer science; Scalability; Information system; Data science; Environmental science; Database; Geography; Ecology; Cartography; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0003063174,0.00004171988,0.000046206,0.000003896415,0.00005811753,0.00001534658,0.0002024947,0.00002409076,0.0005122007],"category_scores_gemma":[0.0000301734,0.00003291576,0.00002022246,0.00006879171,0.00008543879,0.0001325063,0.000409463,0.00002973376,0.0001251366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009689346,"about_ca_system_score_gemma":0.0000019396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006922639,"about_ca_topic_score_gemma":0.00004601353,"domain_scores_codex":[0.9996046,0.000007060631,0.00008949936,0.00008136353,0.0001266625,0.0000907983],"domain_scores_gemma":[0.9997063,0.00004201898,0.00004251699,0.000172248,0.000005901134,0.00003095775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001608434,0.00002499589,0.236099,0.00002166497,0.00001275878,7.639768e-8,0.001598618,0.00002813284,0.000003178733,0.0001881094,0.7603375,0.001669881],"study_design_scores_gemma":[0.0004240492,0.000008773886,0.1334989,0.000004032777,0.000008908725,2.437929e-7,0.01581928,0.0002212517,0.000007919244,0.000009259412,0.8499573,0.00004007789],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9115795,0.0001901671,0.001224458,0.06927005,0.0004280978,0.001241712,0.0009198032,0.00003486648,0.01511128],"genre_scores_gemma":[0.9879583,0.001720983,0.004253498,0.004771938,0.00005720978,0.00005367615,0.0005215449,0.000007233525,0.0006556462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1026001,"threshold_uncertainty_score":0.5608239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04462490297271328,"score_gpt":0.2484182440360752,"score_spread":0.2037933410633619,"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."}}