{"id":"W2911215505","doi":"10.1016/j.jenvman.2018.12.076","title":"EcoAnthromes of Alberta: An example of disturbance-informed ecological regionalization using remote sensing","year":2019,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Disturbance (geology); Threatened species; Ecology; Edaphic; Natural (archaeology); Ecosystem; Environmental science; Boreal; Geography; Environmental resource management; Habitat; Geology","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":[0.0003488607,0.0001728283,0.0001187585,0.001539189,0.001199536,0.001157026,0.000515332,0.0003027136,0.001640513],"category_scores_gemma":[0.0005889008,0.00009385306,0.0001187973,0.003388856,0.0006307223,0.0002677066,0.0006405205,0.0002505603,0.0001384022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0026196,"about_ca_system_score_gemma":0.003590488,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8725852,"about_ca_topic_score_gemma":0.9641458,"domain_scores_codex":[0.9998133,0.00003102879,0.000006790492,0.00003377056,0.00005847105,0.00005661467],"domain_scores_gemma":[0.9996617,0.00007071673,0.00004560084,0.00005007437,0.0001256667,0.00004615769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005558313,0.0002120323,0.6492496,0.0002917044,0.0001640467,0.002612726,0.01289443,0.0143789,0.01882756,0.01173965,0.01105611,0.2780175],"study_design_scores_gemma":[0.00002309616,0.00002810796,0.9445527,0.0000780837,0.00004806282,0.0003439236,0.008783772,0.007494212,0.001106907,0.002121145,0.03538438,0.00003570438],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9316092,0.001145116,0.005875296,0.000888642,0.00002893536,0.0001311248,0.003853034,0.0003127845,0.05615582],"genre_scores_gemma":[0.9869217,0.0003092563,0.008234337,0.00007179903,0.000007405236,0.00002145524,0.001145488,0.00002478258,0.003263821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1274148,"threshold_uncertainty_score":0.2563303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03751512148893153,"score_gpt":0.2574828474572305,"score_spread":0.219967725968299,"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."}}