{"id":"W2377453426","doi":"10.18307/2009.0201","title":"Progress in lake water color remote sensing","year":2009,"lang":"en","type":"article","venue":"Journal of Lake Sciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"ASTER","funders":"","keywords":"Remote sensing; Ocean color; Environmental science; Satellite; Scale (ratio); Water quality; Key (lock); Status quo; Remote sensing application; Computer science; Meteorology; Geology; Geography; Hyperspectral imaging; 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":[0.006290981,0.001124353,0.001041046,0.00316629,0.0006954558,0.002237866,0.001544967,0.001373338,0.003059705],"category_scores_gemma":[0.004358937,0.0004319188,0.001183519,0.005249289,0.001483238,0.006228528,0.001698232,0.002008618,0.0008356964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001755025,"about_ca_system_score_gemma":0.003215258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01578157,"about_ca_topic_score_gemma":0.007108329,"domain_scores_codex":[0.9970856,0.0006531713,0.0001591179,0.0008542048,0.001064466,0.0001834489],"domain_scores_gemma":[0.9956502,0.001153063,0.0003230697,0.000329856,0.002349515,0.0001942807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001841379,0.0001118345,0.02898947,0.002982089,0.0001795481,0.0001554089,0.0006849453,0.005622856,0.01573167,0.01501772,0.02190067,0.9084396],"study_design_scores_gemma":[0.0001401293,0.0004528609,0.1062921,0.001227952,0.0007357911,0.00100743,0.002543555,0.0554134,0.03506349,0.025572,0.7710779,0.0004733561],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.1338537,0.4509985,0.2945956,0.03435953,0.003427709,0.0004073549,0.003478717,0.003644741,0.07523416],"genre_scores_gemma":[0.4183631,0.2792951,0.2644749,0.006199094,0.004751132,0.0003180365,0.006190968,0.0008498815,0.01955778],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01578157,"threshold_uncertainty_score":0.0332703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01499363992987347,"score_gpt":0.2313325458916339,"score_spread":0.2163389059617604,"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."}}