{"id":"W150896473","doi":"10.1023/a:1016136723584","title":"Selecting Indicator Species to Monitor Ecological Integrity: A Review","year":2002,"lang":"en","type":"review","venue":"Environmental Monitoring and Assessment","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":808,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Moncton","funders":"Natural Sciences and Engineering Research Council of Canada; U.S. Fish and Wildlife Service","keywords":"Environmental resource management; Ecology; Biological integrity; Indicator species; Selection (genetic algorithm); Population; Ecosystem; Geography; Environmental science; Computer science; Biology; Habitat","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":[0.002726445,0.001587767,0.004178895,0.004827811,0.0003587778,0.001395108,0.002025685,0.001517575,0.00222823],"category_scores_gemma":[0.00390701,0.0004821669,0.0006789804,0.008012073,0.0006429272,0.002246934,0.0006043948,0.0006802778,0.001175195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006440271,"about_ca_system_score_gemma":0.001859552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00440542,"about_ca_topic_score_gemma":0.007751905,"domain_scores_codex":[0.9993005,0.0001240437,0.000154149,0.000173225,0.0002198825,0.00002821399],"domain_scores_gemma":[0.9970879,0.00150723,0.0004203797,0.00006655059,0.0008220637,0.00009584839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007107213,0.00006846141,0.0009655969,0.01794915,0.0001379059,0.0001371593,0.00006774387,0.0002407632,0.0009456869,0.0005268509,0.007850551,0.971039],"study_design_scores_gemma":[0.0001435244,0.0004567064,0.01240749,0.02734474,0.002760617,0.004775687,0.0006671702,0.0005925649,0.004540055,0.002809529,0.9433312,0.0001706725],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005640943,0.9972606,0.001127703,0.0001930246,0.0001651898,0.00002279379,0.00007229923,0.00001518036,0.0005791307],"genre_scores_gemma":[0.001849325,0.9941196,0.003287013,0.0002087343,0.00009452181,0.00002621194,0.00008160685,0.000005319897,0.0003276578],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004827811,"threshold_uncertainty_score":0.01441902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04463804986305973,"score_gpt":0.3375293474047697,"score_spread":0.2928912975417099,"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."}}