{"id":"W4281760743","doi":"10.1038/s41597-022-01381-8","title":"CAN-SAR: A database of Canadian species at risk information","year":2022,"lang":"en","type":"article","venue":"Scientific Data","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Carleton University; Environment and Climate Change Canada","funders":"Environment and Climate Change Canada","keywords":"Listing (finance); Threatened species; Database; Computer science; Environmental resource management; Business; Ecology; Biology; Habitat; Environmental science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002222138,0.001185057,0.0007803608,0.02289771,0.002380135,0.003418427,0.003010622,0.0009732799,0.05204585],"category_scores_gemma":[0.01628683,0.0006700481,0.0005633128,0.03353651,0.0007228856,0.002576714,0.00212306,0.001214588,0.01670023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01907383,"about_ca_system_score_gemma":0.06183346,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9200147,"about_ca_topic_score_gemma":0.9560083,"domain_scores_codex":[0.9981741,0.0001302858,0.000295569,0.0002358451,0.0009230881,0.0002410409],"domain_scores_gemma":[0.9759818,0.002611223,0.001822425,0.001927152,0.01544412,0.002213149],"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":[0.0001637448,0.00004390041,0.007248544,0.001862576,0.00006405431,0.0001961715,0.001014849,0.0009396459,0.00102316,0.005801072,0.9004757,0.08116641],"study_design_scores_gemma":[0.00003000411,0.000007772347,0.01639331,0.0005467471,0.00004483644,0.00007461997,0.0004346723,0.0006569367,0.000457763,0.001203655,0.9800441,0.0001055763],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002452229,0.0005099251,0.002533115,0.0003717084,0.00004906357,0.0002374815,0.9647423,0.001830318,0.02727383],"genre_scores_gemma":[0.01041522,0.000992708,0.01734811,0.0002599027,0.0000266383,0.0003670334,0.962577,0.0006827251,0.007330703],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07998526,"threshold_uncertainty_score":0.1741107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05533889582137173,"score_gpt":0.2347911153665203,"score_spread":0.1794522195451486,"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."}}