{"id":"W3089035128","doi":"10.1016/j.jag.2020.102224","title":"Estimation of land-use/land-cover changes associated with energy footprints and other disturbance agents in the Upper Peace Region of Alberta Canada from 1985 to 2015 using Landsat data","year":2020,"lang":"en","type":"article","venue":"International Journal of Applied Earth Observation and Geoinformation","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; University of Lethbridge; Canadian Forest Service; Alberta Energy","funders":"Canadian Forest Service; Canadian Space Agency","keywords":"Disturbance (geology); Land cover; Land reclamation; Geography; Vegetation (pathology); Environmental science; Wetland; Deciduous; Physical geography; Land use; Ecological succession; Environmental resource management; Ecology; 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":[0.0003786413,0.0005251106,0.0002243935,0.002747896,0.001193757,0.001206444,0.0006810588,0.0002577136,0.0007293066],"category_scores_gemma":[0.0007341281,0.0002189327,0.0003947302,0.003999695,0.0005730065,0.0003020347,0.0005451914,0.0003170557,0.0001801288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02031196,"about_ca_system_score_gemma":0.0140524,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9930295,"about_ca_topic_score_gemma":0.9970643,"domain_scores_codex":[0.9996389,0.00001095812,0.00001692414,0.0000616663,0.0001657615,0.0001057347],"domain_scores_gemma":[0.9992546,0.00003827837,0.0001135684,0.0000248763,0.0004344984,0.0001340812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001937984,0.00007515938,0.950956,0.00009867519,0.0001127835,0.0004532116,0.001016411,0.007710589,0.002735777,0.0003120414,0.002137068,0.03419848],"study_design_scores_gemma":[0.000003998516,0.000007849085,0.9928389,0.00001807228,0.0000205264,0.00004350196,0.0008796471,0.004158106,0.0004141676,0.00002238986,0.001580797,0.00001209662],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99161,0.0004403157,0.0004370029,0.00006365487,0.000005993561,0.00003732108,0.005403279,0.00003942869,0.001962965],"genre_scores_gemma":[0.9902152,0.0004698639,0.00119568,0.00003250481,0.000004825653,0.00002467926,0.005879754,0.000008963673,0.002168455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02031196,"threshold_uncertainty_score":0.1473743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03432744563598781,"score_gpt":0.2290445446572157,"score_spread":0.1947170990212279,"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."}}