{"id":"W2011466151","doi":"10.1109/igarss.2009.5417817","title":"The MERIS water products: Performance, current issues and potential future improvements","year":2009,"lang":"en","type":"article","venue":"","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cégep Saint-Jean-sur-Richelieu","funders":"","keywords":"Cirrus; Remote sensing; Computer science; Residual; Environmental science; Atmospheric correction; Imaging spectrometer; Meteorology; Systems engineering; Spectrometer; Satellite; Algorithm; Aerospace engineering; Engineering; Geography; Physics","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":[0.02039514,0.001955694,0.00131578,0.001704142,0.0007022544,0.005477215,0.003584483,0.002372439,0.01279819],"category_scores_gemma":[0.0215853,0.0006379414,0.0007815634,0.003890284,0.0008691169,0.008999906,0.001184574,0.001452707,0.009364468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001798723,"about_ca_system_score_gemma":0.002913667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02295105,"about_ca_topic_score_gemma":0.01458502,"domain_scores_codex":[0.9955665,0.001178014,0.000286586,0.0005974806,0.001964601,0.0004067207],"domain_scores_gemma":[0.9858893,0.00175827,0.0005100713,0.001342473,0.009060692,0.001439258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002297238,0.0006220511,0.03475257,0.0008825789,0.0001753301,0.0001399321,0.0003159438,0.01425812,0.01346079,0.007229541,0.1786654,0.7472004],"study_design_scores_gemma":[0.0007576401,0.003766622,0.141495,0.001235388,0.0003048858,0.0006720514,0.002340521,0.2770127,0.05113549,0.01902441,0.5015988,0.0006564371],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.2955299,0.0519835,0.2397045,0.1496692,0.006686214,0.001653056,0.06061335,0.08321927,0.1109409],"genre_scores_gemma":[0.3972167,0.01458062,0.470362,0.004884013,0.001599338,0.000588535,0.06170462,0.005009788,0.04405425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02295105,"threshold_uncertainty_score":0.1078611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005179194577873216,"score_gpt":0.204007275972574,"score_spread":0.1988280813947008,"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."}}