{"id":"W2001072978","doi":"10.1016/s0034-4257(01)00193-6","title":"Caribou habitat mapping and fragmentation analysis using Landsat MSS, TM, and GIS data in the North Columbia Mountains, British Columbia, Canada","year":2001,"lang":"en","type":"article","venue":"Remote Sensing of Environment","topic":"Rangeland and Wildlife Management","field":"Environmental Science","cited_by":94,"is_retracted":false,"has_abstract":false,"ca_institutions":"Mount Revelstoke National Park; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Parks Canada; University of Calgary","keywords":"Thematic Mapper; Habitat; Physical geography; Geography; Multispectral Scanner; Thematic map; Remote sensing; Environmental science; Satellite imagery; Fragmentation (computing); Vegetation (pathology); Cartography; Ecology","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":[0.000342578,0.0001006914,0.0002206824,0.00002774617,0.0002130974,0.000177673,0.0001579313,0.00003333223,0.00005782752],"category_scores_gemma":[0.00001233291,0.0001331486,0.00002416719,0.0002685746,0.0001447958,0.0001271813,0.0002965329,0.00008876214,7.443876e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002394974,"about_ca_system_score_gemma":0.00001138502,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9759274,"about_ca_topic_score_gemma":0.9964093,"domain_scores_codex":[0.9985372,0.00009874134,0.0002762186,0.0004226918,0.0004245032,0.0002406548],"domain_scores_gemma":[0.9993462,0.00004456084,0.0001206941,0.0004233361,0.000002015916,0.00006317811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002945146,0.0000192578,0.9463888,0.00001277922,0.00007135459,0.0001077102,0.0002653668,0.00297699,0.00007494363,4.454343e-8,0.0007583718,0.04932146],"study_design_scores_gemma":[0.0002830919,0.000014929,0.9373063,0.00002907701,0.0001803707,0.00003622183,0.000857717,0.05420409,6.861375e-7,0.00001820674,0.00692111,0.0001482271],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980034,0.0001580985,0.001032338,0.0002553473,0.00002638435,0.0002471401,0.00005449386,0.000004564067,0.0002182091],"genre_scores_gemma":[0.9955496,0.0005627809,0.003259258,0.0003245413,0.00001897178,1.598948e-7,0.0001369709,0.000009903833,0.0001378113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0512271,"threshold_uncertainty_score":0.5429644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01385571699252879,"score_gpt":0.1984874869729905,"score_spread":0.1846317699804617,"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."}}