{"id":"W2214862618","doi":"10.7557/2.35.2.3636","title":"Biodiversity offsets and caribou conservation in Alberta: opportunities and challenges","year":2015,"lang":"en","type":"article","venue":"Rangifer","topic":"Environmental Conservation and Management","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Golder Associates (Canada)","funders":"","keywords":"Woodland caribou; Biodiversity; Environmental resource management; Natural resource; Geography; Habitat; Environmental planning; Ecology; Environmental science; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001506711,0.00005951101,0.00006374441,0.00002454326,0.0000326111,0.00001127871,0.00003410944,0.0000272769,0.00011872],"category_scores_gemma":[0.00001077538,0.00005858149,0.000006619129,0.00002922608,0.0001208411,0.0002308804,0.0001360869,0.00002650642,0.00004754363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004756021,"about_ca_system_score_gemma":0.000002516038,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00791026,"about_ca_topic_score_gemma":0.009332514,"domain_scores_codex":[0.9995849,0.00002960822,0.00006743203,0.0001354769,0.0001007221,0.00008189977],"domain_scores_gemma":[0.9998176,0.00002055676,0.00001947971,0.00006800459,0.000001673031,0.00007273747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005895811,0.00009729333,0.9440793,0.00003628105,0.00001544422,0.00002281089,0.006199988,0.00002318351,0.0001232466,0.004143488,0.02836368,0.01683631],"study_design_scores_gemma":[0.000626513,0.00003150339,0.701659,0.000005352749,0.000007215609,0.000002993238,0.002167615,0.0001975474,0.00002733847,0.0002551254,0.2949181,0.0001016948],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9595035,0.0003257273,0.000008090757,0.02999148,0.00003026968,0.0001211048,0.000003453668,0.000009875737,0.01000651],"genre_scores_gemma":[0.9933099,0.0019635,0.0001313178,0.003372205,0.000004132285,0.000006719661,0.00001305194,0.000002955262,0.001196232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2665544,"threshold_uncertainty_score":0.9986961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1011110917434149,"score_gpt":0.2168611163746161,"score_spread":0.1157500246312012,"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."}}