{"id":"W2069590328","doi":"10.1016/j.ecolind.2013.01.038","title":"Suitability of presence vs. absence indicator species to characterize stress gradients: Lessons from zooplankton species of boreal lakes","year":2013,"lang":"en","type":"article","venue":"Ecological Indicators","topic":"Marine Biology and Ecology Research","field":"Earth and Planetary Sciences","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Environment; University of Regina","funders":"Ministry of Environment - Saskatchewan","keywords":"Habitat; Indicator species; Indicator value; Ecology; Generalist and specialist species; Environmental science; Zooplankton; Boreal; Ecological indicator; Biology; Ecosystem","routes":{"ca_aff":true,"ca_fund":true,"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":[0.009755423,0.0007883989,0.0007320142,0.001290274,0.0008442939,0.002130735,0.001098204,0.001010013,0.0007395973],"category_scores_gemma":[0.01453992,0.0003367288,0.001025926,0.001053032,0.001976459,0.001958491,0.0008691132,0.0009908038,0.0001599844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000606139,"about_ca_system_score_gemma":0.0005558287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01682875,"about_ca_topic_score_gemma":0.03336765,"domain_scores_codex":[0.997327,0.001825326,0.0001352534,0.0003999045,0.0001647488,0.0001476815],"domain_scores_gemma":[0.9865227,0.009794487,0.001125534,0.0007934078,0.001219752,0.0005439853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002528001,0.00004769948,0.9649963,0.00009059379,0.0004364922,0.000108768,0.0009146181,0.003395504,0.003911635,0.0006645443,0.0005748281,0.02460615],"study_design_scores_gemma":[0.00002386751,0.0003580487,0.9718505,0.00005835655,0.0001961866,0.0002732591,0.002604316,0.01969892,0.001398377,0.002580601,0.0008984782,0.000059135],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890988,0.0007579701,0.006533741,0.0006703879,0.00003608439,0.00002029501,0.000162926,0.00002918396,0.002690563],"genre_scores_gemma":[0.9975275,0.0001314769,0.00203963,0.00009850299,0.0000182328,0.000004872009,0.00007373306,0.0000167352,0.00008933484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01682875,"threshold_uncertainty_score":0.05159217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03093877199728992,"score_gpt":0.2532615283856331,"score_spread":0.2223227563883432,"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."}}