{"id":"W4205402457","doi":"10.3390/data7010006","title":"Multi-Temporal Surface Water Classification for Four Major Rivers from the Peruvian Amazon","year":2022,"lang":"en","type":"article","venue":"Data","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; National Research Council Canada; McGill University","funders":"Japan Society for the Promotion of Science; Natural Sciences and Engineering Research Council of Canada; University of Toronto","keywords":"Amazon rainforest; Surface water; Geography; Environmental science; Satellite imagery; Hydrology (agriculture); Remote sensing; Physical geography; Geology; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003683639,0.00007276926,0.00005488294,0.000005889992,0.0003853471,0.00004234493,0.0009735281,0.0000126552,0.002322483],"category_scores_gemma":[0.000005741155,0.00004692393,0.00002228863,0.00004825641,0.00004432257,0.000222224,0.001586867,0.00007185186,0.0002610805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008291542,"about_ca_system_score_gemma":0.000003710431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003829378,"about_ca_topic_score_gemma":0.001363125,"domain_scores_codex":[0.999125,0.00005976034,0.00009614798,0.000331868,0.0002224578,0.0001647557],"domain_scores_gemma":[0.9991364,0.0000298156,0.00003732497,0.0007677145,0.000001802893,0.00002690416],"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":[0.00008729049,0.0003094439,0.3608014,0.000007864987,0.00008711389,0.000007518343,0.001222398,0.00212441,0.02783406,0.0001781661,0.5995677,0.007772679],"study_design_scores_gemma":[0.0005553831,0.00003119389,0.1465246,8.421945e-7,0.00003919063,2.221267e-7,0.0009656118,0.07001486,0.0001755994,0.0001476889,0.7814273,0.000117499],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9276273,0.00006102262,0.04567375,0.01681857,0.0009809182,0.002263537,0.005538504,0.0001170538,0.00091936],"genre_scores_gemma":[0.9709093,0.00001110702,0.01880566,0.000409432,0.00003848011,0.00005922173,0.008095445,0.00001217129,0.001659195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2142768,"threshold_uncertainty_score":0.9985895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08291226371513943,"score_gpt":0.2815967349084894,"score_spread":0.1986844711933499,"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."}}