{"id":"W2143057114","doi":"10.1890/06-0285.1","title":"SATELLITE DETECTION OF BIRD COMMUNITIES IN TROPICAL COUNTRYSIDE","year":2007,"lang":"en","type":"article","venue":"Ecological Applications","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Koret Foundation","keywords":"Thematic Mapper; Land cover; Geography; Biodiversity; Normalized Difference Vegetation Index; Vegetation (pathology); Land use; Ecology; Remote sensing; Agricultural land; Agriculture; Satellite imagery; Leaf area index; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001643366,0.0000517037,0.0000825701,0.00002128295,0.00006971263,0.000005686646,0.0001258543,0.00006730745,0.01235017],"category_scores_gemma":[0.0000144877,0.00004479713,0.00002759756,0.000281523,0.0002327901,0.0000337196,0.00006770002,0.00009309905,0.0007103647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002569027,"about_ca_system_score_gemma":0.000001754499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002284155,"about_ca_topic_score_gemma":0.01310802,"domain_scores_codex":[0.99944,0.00002306889,0.0001973248,0.00008877257,0.00009640366,0.0001544321],"domain_scores_gemma":[0.999628,0.0001359749,0.00004737636,0.0001375791,0.000007314723,0.00004377341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002192292,0.0007127132,0.940621,0.000007045784,0.000003360018,0.000001469558,0.0002047127,0.00002308656,0.02257693,0.01392617,0.0001209702,0.02178059],"study_design_scores_gemma":[0.0001055904,0.00003253355,0.9350317,7.485017e-7,0.000001944474,0.000001488757,0.0008090858,0.00001628132,0.001686038,0.001294952,0.06097197,0.00004763745],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9725206,0.00002626803,0.00368247,0.0001256003,0.0000151438,0.0002049223,0.000009289383,0.00005065855,0.023365],"genre_scores_gemma":[0.9994868,0.00008474191,0.0001308931,0.0001515316,0.000009375964,0.0000829138,0.00001307925,0.000003324109,0.00003733723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.060851,"threshold_uncertainty_score":0.9885527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02537610053603714,"score_gpt":0.2588211930397956,"score_spread":0.2334450925037585,"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."}}