{"id":"W2982170513","doi":"10.4095/220024","title":"Accuracy assessment of global land cover products derived from satellite data","year":2003,"lang":"en","type":"report","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Land cover; Satellite; Cover (algebra); Remote sensing; Environmental science; Geography; Land use; Biology; Ecology; Engineering","routes":{"ca_aff":true,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005826485,0.0002881862,0.0005596211,0.00002966081,0.00005968513,0.0001024709,0.0004922992,0.0002339337,0.002246044],"category_scores_gemma":[0.0003696062,0.0001943895,0.00006138242,0.0001933285,0.00006110984,0.0001805547,0.0000457064,0.0002279171,0.0001182002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001821821,"about_ca_system_score_gemma":0.001943454,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06393988,"about_ca_topic_score_gemma":0.01204531,"domain_scores_codex":[0.9974712,0.0001365594,0.0004781634,0.0007289255,0.0008895966,0.0002956065],"domain_scores_gemma":[0.9976991,0.0001969496,0.0003949818,0.001364029,0.000222114,0.000122786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001759545,0.00002892636,0.8043385,0.0001048198,0.00019157,0.00005387365,0.000009441284,0.0001503557,0.000007013756,0.000001162477,0.03041275,0.164684],"study_design_scores_gemma":[0.0001548509,0.00003082717,0.5940333,0.00007353304,0.00009481604,0.00003039231,0.000006457232,0.001083682,0.00001805625,0.00003600264,0.4042195,0.000218603],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1502472,0.01213891,0.0001518506,0.0002158271,0.003698667,0.000472057,0.00784089,0.00007602851,0.8251586],"genre_scores_gemma":[0.8640477,0.04486453,0.02525017,0.0003414897,0.001471869,1.334915e-7,0.05387726,0.00002247923,0.01012434],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8150343,"threshold_uncertainty_score":0.998666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07533219262385672,"score_gpt":0.3201229228635264,"score_spread":0.2447907302396697,"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."}}