{"id":"W2041533898","doi":"10.3390/rs6054190","title":"On Line Validation Exercise (OLIVE): A Web Based Service for the Validation of Medium Resolution Land Products. Application to FAPAR Products","year":2014,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Natural Resources Canada","funders":"European Space Agency","keywords":"Remote sensing; Computer science; Environmental science; Benchmark (surveying); Transparency (behavior); Traceability; Photosynthetically active radiation; Earth observation; Satellite; Geography; Software engineering; Cartography; Engineering; Aerospace engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007500305,0.001736426,0.0008490972,0.002863088,0.0005724251,0.001931544,0.001699258,0.001755253,0.03456343],"category_scores_gemma":[0.0130704,0.0006564189,0.001012903,0.001589653,0.0004782581,0.002664183,0.00387271,0.001140757,0.02910292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004624525,"about_ca_system_score_gemma":0.00106277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003741866,"about_ca_topic_score_gemma":0.00276456,"domain_scores_codex":[0.9970432,0.0008776648,0.0003100874,0.00035553,0.0011716,0.0002419691],"domain_scores_gemma":[0.9921843,0.002873644,0.0006635003,0.002260657,0.001652493,0.0003654043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003889487,0.0009429535,0.02084395,0.001678285,0.0004112664,0.001524659,0.0009731973,0.0143034,0.04179696,0.007605889,0.5390356,0.3669944],"study_design_scores_gemma":[0.001163756,0.0004021524,0.03752829,0.001137898,0.0001383567,0.001284315,0.0004688076,0.1338543,0.07060216,0.0157936,0.7370842,0.0005423031],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.02659442,0.0006439297,0.4207693,0.0004924709,0.0002730775,0.001470401,0.09423608,0.4236082,0.03191208],"genre_scores_gemma":[0.1576045,0.0007168012,0.2765345,0.001205555,0.0002038924,0.002715238,0.4171003,0.1090973,0.03482184],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.03456343,"threshold_uncertainty_score":0.1156262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0140717594030543,"score_gpt":0.2339302517690116,"score_spread":0.2198584923659573,"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."}}