{"id":"W2094708825","doi":"10.1139/f09-122","title":"Benthic algal biomass — measurement and errorsThis paper is part of the series “Forty Years of Aquatic Research at the Experimental Lakes Area”.","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Aquatic Invertebrate Ecology and Behavior","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Benthic zone; Biomass (ecology); Littoral zone; Environmental science; Temperate climate; Chlorophyll a; Ecology; Oceanography; Biology; Geology; Botany","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.02091153,0.001029845,0.0006880265,0.001904004,0.001819258,0.001441289,0.001584506,0.0004598349,0.00179807],"category_scores_gemma":[0.03887021,0.0006759546,0.0006459422,0.004251594,0.001151138,0.001110217,0.002041664,0.0006973097,0.000762615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003809938,"about_ca_system_score_gemma":0.002167077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07907145,"about_ca_topic_score_gemma":0.1760162,"domain_scores_codex":[0.9740812,0.00520734,0.003337593,0.0045335,0.01220642,0.0006340216],"domain_scores_gemma":[0.9588405,0.01009082,0.009263129,0.007887673,0.01345829,0.0004595113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005569998,0.000172756,0.8248172,0.0006518182,0.001431313,0.0001312181,0.00143963,0.002901535,0.009290225,0.002023989,0.01388903,0.1426943],"study_design_scores_gemma":[0.00001902124,0.0001668571,0.9637299,0.0001637575,0.0002679203,0.0001339086,0.0003515612,0.002933838,0.007148985,0.001047778,0.02397285,0.00006353217],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.693539,0.02551723,0.2074773,0.002494196,0.004667915,0.001696567,0.02697818,0.001519683,0.03611005],"genre_scores_gemma":[0.9271442,0.003427055,0.04395568,0.0009349284,0.0003099125,0.001599732,0.009545044,0.0005911237,0.01249235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07907145,"threshold_uncertainty_score":0.1572224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06215308470935426,"score_gpt":0.2633764195154587,"score_spread":0.2012233348061044,"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."}}