{"id":"W2011133380","doi":"10.5558/tfc76877-6","title":"Quantification of landscape change from satellite remote sensing","year":2000,"lang":"en","type":"article","venue":"The Forestry Chronicle","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Forest Service; U.S. Forest Service; Parks Canada","keywords":"Geography; Biodiversity; Habitat; Ecology; Landscape epidemiology; Fragmentation (computing); Remote sensing; Habitat fragmentation; Environmental resource management; Landscape ecology; Species richness; Environmental science; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004705628,0.0003003628,0.0002204255,0.004685811,0.0001512166,0.0007338498,0.0002118167,0.0002182535,0.001270113],"category_scores_gemma":[0.001313897,0.0001116548,0.0001763909,0.003069917,0.0002615307,0.0007562011,0.0004733489,0.000205555,0.0002358143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006788714,"about_ca_system_score_gemma":0.0001961064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02283528,"about_ca_topic_score_gemma":0.0463819,"domain_scores_codex":[0.9995422,0.00006896462,0.00002357832,0.00006618652,0.0002654654,0.00003352027],"domain_scores_gemma":[0.9994153,0.0001289502,0.0001913901,0.00005286868,0.0001776889,0.00003397382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00009944276,0.0000747007,0.4050937,0.0004541787,0.0003391616,0.0002015973,0.0006595065,0.04046351,0.02785577,0.004849496,0.003911069,0.5159978],"study_design_scores_gemma":[0.000006273621,0.00007451783,0.9417604,0.00006750834,0.00006773967,0.0002633392,0.0004218346,0.04173293,0.004223864,0.002265499,0.009073941,0.00004222832],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8409635,0.003272267,0.1099683,0.0002368979,0.00003650364,0.0002458901,0.01023982,0.0009452212,0.03409171],"genre_scores_gemma":[0.9616621,0.0009019747,0.03212396,0.00005066307,0.00003012301,0.0000631599,0.003554414,0.00003340694,0.001580176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02283528,"threshold_uncertainty_score":0.04540473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02419272886605607,"score_gpt":0.2453403397308788,"score_spread":0.2211476108648227,"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."}}