{"id":"W2903307213","doi":"10.1002/rse2.100","title":"Estimates of landscape composition from terrestrial oblique photographs suggest homogenization of Rocky Mountain landscapes over the last century","year":2018,"lang":"en","type":"article","venue":"Remote Sensing in Ecology and Conservation","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Fluidigm (Canada); University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Alberta Agriculture and Forestry; Alberta Environment and Parks","keywords":"Land cover; Oblique case; Physical geography; Satellite imagery; Remote sensing; Geography; Land use; Homogenization (climate); Geology; Ecology; Biodiversity","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":[0.0002108965,0.00008922324,0.00006561996,0.001110773,0.0002530656,0.0005196473,0.0001076805,0.00008753138,0.00113686],"category_scores_gemma":[0.0005101597,0.00006835374,0.00009081547,0.001011669,0.000211569,0.0002344334,0.0002069285,0.0001289824,0.00009367218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003759464,"about_ca_system_score_gemma":0.0001265927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07923469,"about_ca_topic_score_gemma":0.1785407,"domain_scores_codex":[0.9999226,0.000008964063,0.000005675842,0.00002306752,0.00002485702,0.00001467112],"domain_scores_gemma":[0.9996856,0.00003455716,0.0001296845,0.0000298927,0.0000993991,0.00002087038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000308993,0.000005699908,0.9779921,0.00002099341,0.000047844,0.0000566748,0.000426003,0.0003313393,0.005915628,0.00008688657,0.0001565731,0.01492938],"study_design_scores_gemma":[1.624083e-7,0.000001888132,0.9995209,0.000001327874,0.000002811597,0.00002361711,0.00009245792,0.00007851263,0.0001074172,0.000004343422,0.000166113,5.461509e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965516,0.0001887897,0.0006163687,0.00001285075,0.000001757276,0.000005874421,0.0004188796,0.00001270739,0.002191073],"genre_scores_gemma":[0.9990975,0.00007420392,0.0003717446,0.000004861599,0.000002373289,0.000001618623,0.0002759593,0.000002413971,0.0001693321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07923469,"threshold_uncertainty_score":0.157547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005408193790914307,"score_gpt":0.2064410801299214,"score_spread":0.2010328863390071,"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."}}