{"id":"W7015061071","doi":"","title":"Retrospective study of suspended sediment patterns on Lake Winnipeg using NOAA AVHRR satellite imagery","year":2001,"lang":"en","type":"report","venue":"Mspace (University of Manitoba)","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sediment; Hydrology (agriculture); Nutrient; Productivity; Algal bloom; Water quality; Satellite; Plankton; STREAMS; Hydropower","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001454649,0.001011915,0.002217164,0.001748794,0.0004037371,0.00005011718,0.001112868,0.0006290576,0.0002887095],"category_scores_gemma":[0.0001084887,0.001356089,0.0006632807,0.001170369,0.0003830872,0.0004452771,0.0008761718,0.00127748,0.000343572],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004501048,"about_ca_system_score_gemma":0.0008026173,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03534134,"about_ca_topic_score_gemma":0.7147079,"domain_scores_codex":[0.9924282,0.0005467749,0.0006067821,0.001567689,0.003956199,0.0008943569],"domain_scores_gemma":[0.9930744,0.0001007638,0.00278789,0.001869154,0.001888225,0.0002795776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009458243,0.003923239,0.977378,0.0005513022,0.002249795,0.003477528,0.001859904,0.0002897588,0.001231451,0.00001697113,0.007627737,0.000448538],"study_design_scores_gemma":[0.003219071,0.001523579,0.9233843,0.001148548,0.001858029,0.00008644758,0.05492764,0.00007076664,0.000234765,0.00002479144,0.01233269,0.001189394],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9582727,0.0001794596,0.00007635849,0.00007000513,0.0008883879,0.002085812,0.001344649,0.0002266518,0.03685599],"genre_scores_gemma":[0.9951222,0.0006711344,0.0003314996,0.00001019915,0.000333745,9.261517e-7,0.0003094265,0.0002936569,0.0029272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6793665,"threshold_uncertainty_score":0.9993205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04792742886562994,"score_gpt":0.2623912378937159,"score_spread":0.214463809028086,"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."}}