{"id":"W2245162543","doi":"10.1002/etc.3218","title":"Defining the role of omics in assessing ecosystem health: Perspectives from the Canadian environmental monitoring program","year":2015,"lang":"en","type":"review","venue":"Environmental Toxicology and Chemistry","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Omics; Environmental monitoring; Population; Ecosystem health; Baseline (sea); Organism; Relevance (law); Data science; Biology; Standardization; Scale (ratio); Environmental resource management; Ecology; Ecosystem; Ecosystem services; Computer science; Bioinformatics; Environmental health; Geography; Medicine; Environmental science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.03221257,0.00161059,0.001504224,0.006728972,0.00372922,0.009689969,0.003932931,0.002793677,0.0018248],"category_scores_gemma":[0.01927922,0.0005740687,0.001091483,0.008802597,0.006795224,0.005502099,0.003816653,0.004904544,0.0003467866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05275868,"about_ca_system_score_gemma":0.1549326,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9002485,"about_ca_topic_score_gemma":0.9316528,"domain_scores_codex":[0.9877173,0.002222411,0.0008434116,0.0007346401,0.007533023,0.0009492901],"domain_scores_gemma":[0.943624,0.008395682,0.002625409,0.001260332,0.04116141,0.002933135],"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":[0.0002066083,0.0001274096,0.0127274,0.007542341,0.000272438,0.0004481302,0.002069168,0.002912523,0.005363889,0.09056655,0.09957366,0.7781898],"study_design_scores_gemma":[0.00001740369,0.0001085848,0.02988377,0.007939165,0.0002244113,0.0001984834,0.002087038,0.0009671301,0.002579267,0.01721515,0.9386196,0.0001600176],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.005812722,0.7672612,0.008671518,0.18208,0.002004968,0.0001429673,0.001483228,0.0001255934,0.03241784],"genre_scores_gemma":[0.05313984,0.8603885,0.04494344,0.03319486,0.001043802,0.0001424247,0.001089509,0.0001074672,0.005950141],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.09975153,"threshold_uncertainty_score":0.3827928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02913526597433154,"score_gpt":0.3264818599917701,"score_spread":0.2973465940174386,"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."}}