{"id":"W2074644349","doi":"10.1016/j.ecoenv.2011.10.005","title":"Molecular profiling of marine fauna: Integration of omics with environmental assessment of the world's oceans","year":2011,"lang":"en","type":"review","venue":"Ecotoxicology and Environmental Safety","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":57,"is_retracted":false,"has_abstract":false,"ca_institutions":"Fisheries and Oceans Canada; University of Victoria","funders":"","keywords":"Sentinel species; Marine ecosystem; Ecology; Ecosystem; Biology; Biodiversity; Fauna; Wildlife; Species richness; Invertebrate; Proteogenomics; Marine invertebrates; Transcriptome","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001099672,0.001230987,0.001740878,0.002295362,0.0001850155,0.001172612,0.0009881986,0.0008331204,0.00110519],"category_scores_gemma":[0.0008194353,0.0002756676,0.0006294025,0.003468158,0.000372569,0.001052255,0.0007364278,0.0008102738,0.0009111367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004915799,"about_ca_system_score_gemma":0.001221915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002121107,"about_ca_topic_score_gemma":0.003797694,"domain_scores_codex":[0.9996772,0.00003421801,0.00002603048,0.00008447736,0.0001520446,0.0000260938],"domain_scores_gemma":[0.9994159,0.0002125641,0.0001150531,0.00002294238,0.0001944274,0.00003916367],"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":[0.00004396643,0.00003900529,0.001179021,0.006620616,0.0001638002,0.00009355028,0.0000303405,0.0003665159,0.01322464,0.0008279781,0.005178314,0.9722322],"study_design_scores_gemma":[0.00001961786,0.0002122703,0.02666839,0.003911711,0.000710801,0.00158528,0.0002740581,0.000654305,0.01425045,0.003739728,0.9478623,0.0001111872],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00140557,0.9953437,0.001386468,0.0003243753,0.000162478,0.00001180652,0.0001943384,0.00002075658,0.001150323],"genre_scores_gemma":[0.002482202,0.9942821,0.001897244,0.0001946258,0.0001287865,0.00001079982,0.0002184457,0.000003676383,0.0007821375],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002295362,"threshold_uncertainty_score":0.005815685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01249960540774762,"score_gpt":0.2498463592015171,"score_spread":0.2373467537937695,"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."}}