{"id":"W7036688575","doi":"","title":"Chlorophyll Mapping using MODIS/MERIS imagery over Case 2 Waters, Lake Winnipeg","year":2006,"lang":"en","type":"report","venue":"Mspace (University of Manitoba)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Space Agency","keywords":"Chlorophyll a; Dissolved organic carbon; Reflectivity; Sampling (signal processing); Water quality; Satellite imagery; Satellite; Chlorophyll","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002416974,0.0004560726,0.0001779614,0.001084872,0.0007718211,0.0008190353,0.0005107068,0.0001638655,0.000592421],"category_scores_gemma":[0.0007186308,0.0003019693,0.0002648424,0.001602663,0.0002296626,0.0002772501,0.0007705765,0.000147894,0.0000970593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005175346,"about_ca_system_score_gemma":0.003945574,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9058385,"about_ca_topic_score_gemma":0.9549192,"domain_scores_codex":[0.99978,0.0000169566,0.00001268486,0.00005003285,0.00008867075,0.00005173135],"domain_scores_gemma":[0.999862,0.000006923578,0.00002415174,0.000007377796,0.00007273226,0.00002680549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007651408,0.0001943013,0.8295758,0.000417998,0.0003628707,0.002885578,0.005157204,0.008817557,0.05062019,0.0008542688,0.005173026,0.0951761],"study_design_scores_gemma":[0.0000450325,0.00004190256,0.9777954,0.00003195762,0.00008309122,0.0002522898,0.00252847,0.007102725,0.002579138,0.00007128558,0.009438754,0.00002996132],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949108,0.0002071336,0.0009167307,0.0001083479,0.000008577512,0.0001979541,0.001561349,0.00005225604,0.002036822],"genre_scores_gemma":[0.9873039,0.0002415323,0.008407049,0.0000469237,0.000004718394,0.0001018594,0.002054733,0.00002767806,0.001811717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09416151,"threshold_uncertainty_score":0.189432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04041197857897281,"score_gpt":0.2340750336569716,"score_spread":0.1936630550779988,"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."}}