{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005152417,0.0002109068,0.0005566867,0.0002344241,0.0001655238,0.00002750578,0.0009186842,0.0003123945,0.04152024],"category_scores_gemma":[0.0009565422,0.0001498557,0.00009993205,0.0004235996,0.001236047,0.0001911921,0.000175742,0.0003481199,0.0004750076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001345121,"about_ca_system_score_gemma":0.00009004561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002331934,"about_ca_topic_score_gemma":0.003727681,"domain_scores_codex":[0.9977481,0.0002343034,0.0005540496,0.0005325172,0.0003277323,0.0006033021],"domain_scores_gemma":[0.9973968,0.001506551,0.0002930615,0.0003848779,0.00006766907,0.000351009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009885382,0.0002052019,0.9963173,0.00002459282,0.00004205385,0.000007005445,0.0002482978,0.000006080349,0.0003062347,0.0002586552,0.001072872,0.001412832],"study_design_scores_gemma":[0.0001601723,0.0005843908,0.9951137,0.00001278993,0.00000900315,0.000001050362,0.0002418157,0.00003908753,0.002038602,0.0006846583,0.0009557932,0.000158903],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930862,0.00004247818,0.000002823545,0.001083851,0.0003012737,0.0005247833,0.001003331,0.00003258844,0.003922719],"genre_scores_gemma":[0.9987352,0.0000854176,0.00018817,0.0001273903,0.0000716838,0.000021859,0.000395795,0.000003095291,0.0003714147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04104523,"threshold_uncertainty_score":0.959356,"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."}}