{"id":"W2086623078","doi":"10.1371/journal.pone.0101513","title":"Polar Bears from Space: Assessing Satellite Imagery as a Tool to Track Arctic Wildlife","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Nunavut","funders":"Bureau of Ocean Energy Management; U.S. Geological Survey; Government of Nunavut; University of Minnesota","keywords":"Wildlife; Satellite imagery; Arctic; Satellite; Geography; Remote sensing; Track (disk drive); Polar; The arctic; Computer science; Geology; Ecology; Oceanography; Biology; Astronomy; Physics","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":[0.01102899,0.0004752525,0.000299957,0.002246568,0.0004712898,0.001150351,0.0003053661,0.0003110435,0.0004376368],"category_scores_gemma":[0.01073594,0.000132198,0.000272866,0.001477328,0.0004020182,0.001161773,0.0007979289,0.0001993625,0.0001129036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000516758,"about_ca_system_score_gemma":0.0008240427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03852994,"about_ca_topic_score_gemma":0.06525829,"domain_scores_codex":[0.9963387,0.002178671,0.0001515108,0.0002319483,0.0009484828,0.0001505622],"domain_scores_gemma":[0.9922017,0.002783176,0.001705796,0.0002246001,0.002677878,0.0004068802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003846525,0.000082535,0.9431459,0.0001098581,0.0001846944,0.00006657372,0.001246483,0.001280123,0.0009620802,0.0001396549,0.0003984893,0.05199889],"study_design_scores_gemma":[0.000009646274,0.001021424,0.9891606,0.00007327173,0.000203928,0.0001083243,0.002676919,0.004217257,0.0007910231,0.0001587348,0.001560206,0.00001857723],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925019,0.001030378,0.002603088,0.0001407631,0.00002105596,0.0001474843,0.0005118595,0.00001520971,0.003028314],"genre_scores_gemma":[0.9894149,0.001493518,0.00733198,0.00005799957,0.00007103349,0.0001059511,0.0008669155,0.000007349975,0.0006504123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03852994,"threshold_uncertainty_score":0.07661134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02897663438437791,"score_gpt":0.2353749494545162,"score_spread":0.2063983150701383,"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."}}