{"id":"W2008734362","doi":"10.7557/2.24.1.299","title":"Mapping lichen changes in the summer range of the George River Caribou Herd (Québec-Labrador, Canada) using Landsat imagery (1976-1998)","year":2004,"lang":"en","type":"article","venue":"Rangifer","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Hydro-Québec; Fonds Québécois de la Recherche sur la Nature et les Technologies; University of Lethbridge","keywords":"Thematic Mapper; Lichen; Geography; Context (archaeology); Habitat; Range (aeronautics); Physical geography; Satellite imagery; Remote sensing; Thematic map; Environmental science; Ecology; Cartography; Archaeology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002765479,0.0001325685,0.0001710492,0.00002201629,0.0001381818,0.00001870143,0.0003795504,0.00005572115,0.0002357981],"category_scores_gemma":[0.000008536905,0.00007196378,0.0000567477,0.0002987425,0.00004140768,0.0001174574,0.000151598,0.0001096037,0.00002836433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003395032,"about_ca_system_score_gemma":0.0000782756,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9278343,"about_ca_topic_score_gemma":0.984392,"domain_scores_codex":[0.9989236,0.00007393621,0.0001682898,0.0001862236,0.0003555062,0.0002924326],"domain_scores_gemma":[0.9995102,0.00005170644,0.00008008112,0.0003145017,0.000004350129,0.00003917976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002097512,0.00004050739,0.9854769,0.00005469147,0.00002484644,0.00002993758,0.009459331,0.002228583,0.001134806,0.000006263766,0.001128234,0.0003949041],"study_design_scores_gemma":[0.001013978,0.00001419219,0.974192,0.0001559491,0.00004034341,0.00002022405,0.001233088,0.0008451959,0.001116869,0.00007691306,0.0210181,0.0002731479],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995958,0.0002451054,0.000008767176,0.002168877,0.0001422478,0.000220664,0.0000166773,0.000008009028,0.001231643],"genre_scores_gemma":[0.9982231,0.00001844571,0.00003556416,0.001560306,0.00007272768,0.0000104765,0.000002636237,0.00001252799,0.00006427622],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05655769,"threshold_uncertainty_score":0.2934598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01525776013946508,"score_gpt":0.1999756309863909,"score_spread":0.1847178708469258,"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."}}