{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005073873,0.0007133494,0.001861091,0.0001594113,0.0002095483,0.000004325933,0.0007075931,0.0006903659,0.004044811],"category_scores_gemma":[0.0000120469,0.0005088351,0.0005331335,0.0002867808,0.003645123,0.0001544712,0.001532364,0.000829484,0.0000181699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005654859,"about_ca_system_score_gemma":0.0000450424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001855473,"about_ca_topic_score_gemma":0.0001618379,"domain_scores_codex":[0.9963604,0.0005572574,0.001437044,0.000811159,0.0003294692,0.0005046628],"domain_scores_gemma":[0.9971973,0.0002249934,0.001656743,0.0007796597,0.000001591893,0.0001397449],"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":[0.0007568682,0.007089633,0.2780615,0.004179286,0.002583093,0.00006637663,0.000614185,0.001402316,0.07248719,0.003334904,0.0001283553,0.6292963],"study_design_scores_gemma":[0.008523958,0.009620275,0.3950756,0.004524835,0.01152523,0.001323849,0.001360265,0.0008208713,0.1558099,0.001814427,0.4037254,0.005875384],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.4355305,0.5141953,0.0005691047,0.0000775649,0.0009398312,0.009674668,0.002214277,0.00005971062,0.036739],"genre_scores_gemma":[0.2043755,0.7912104,0.003059115,0.00007733493,0.00002110663,0.0001562005,0.0003199945,0.00009287208,0.0006874291],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.6234209,"threshold_uncertainty_score":0.9997363,"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."}}