{"id":"W3133628032","doi":"10.19121/2021.report.39502","title":"A National Standard for the Identification of Key Biodiversity Areas in Canada","year":2021,"lang":"en","type":"report","venue":"","topic":"Botany, Ecology, and Taxonomy Studies","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); National standard; Scope (computer science); Identification (biology); Environmental resource management; Geography; Environmental science; Biology; Computer science; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005104011,0.00008169701,0.0002089408,0.000006469497,0.0001479102,0.00001324684,0.000149588,0.00007150546,0.0002147876],"category_scores_gemma":[0.0003689424,0.00002645828,0.00007607698,0.0001325954,0.00004594645,0.00001986954,0.00006007864,0.00006823793,6.988053e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005111877,"about_ca_system_score_gemma":0.001147895,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.485922,"about_ca_topic_score_gemma":0.9978714,"domain_scores_codex":[0.9990498,0.00002317811,0.0002812624,0.0001849244,0.0003505063,0.0001102957],"domain_scores_gemma":[0.9984866,0.0004843225,0.0002282871,0.00003037606,0.0007541063,0.00001630397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00005233814,0.0000771605,0.4656129,0.00009190861,0.0003332641,0.000005632628,0.00001295021,0.00001485738,0.0003114547,0.00006522161,0.5251848,0.008237489],"study_design_scores_gemma":[0.00004511236,0.00001617592,0.7029841,0.00000724449,0.00001841084,0.00000119201,0.0008086708,0.000005642612,0.00007870384,0.00005901956,0.295912,0.0000636797],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.865188,0.0101779,0.00005029409,0.0341173,0.006112017,0.003661661,0.02137587,0.00004964173,0.05926729],"genre_scores_gemma":[0.9963415,0.001137228,0.00001910861,0.0001069732,0.0001485262,0.00005203278,0.00009724401,2.466004e-7,0.002097157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5119494,"threshold_uncertainty_score":0.5175013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06722611331370372,"score_gpt":0.2445772068787631,"score_spread":0.1773510935650593,"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."}}