{"id":"W3022602045","doi":"10.1038/s41893-020-0522-9","title":"The ocean genome and future prospects for conservation and equity","year":2020,"lang":"en","type":"article","venue":"Nature Sustainability","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":75,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Natural Environment Research Council; Sight Research UK","keywords":"ENCODE; Genome; Biodiversity; Equity (law); Resource (disambiguation); Marine conservation; Biology; Business; Geography; Environmental resource management; Computational biology; Natural resource economics; Gene; Computer science; Ecology; Political science; Genetics; Economics","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":[],"consensus_categories":[],"category_scores_codex":[0.0002839933,0.0001091962,0.0000963341,0.000003839065,0.000624009,0.00004150199,0.0001314063,0.0001180848,0.00001636714],"category_scores_gemma":[0.000311028,0.00007831511,0.00002588443,0.00008647831,0.0006279447,0.0001262942,0.0006604462,0.0002218654,0.000001946104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002840622,"about_ca_system_score_gemma":0.000005262834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001903945,"about_ca_topic_score_gemma":0.00001958899,"domain_scores_codex":[0.9991643,0.00003207439,0.00009012013,0.000339961,0.0001658012,0.0002076888],"domain_scores_gemma":[0.9996164,0.0001009539,0.00004375795,0.0001329732,0.00001735483,0.0000885263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001177696,0.00002402597,0.9864455,0.0001173632,0.0000134805,0.000001874034,0.001523005,0.000004168282,0.0002257989,0.001211681,0.004665035,0.005650274],"study_design_scores_gemma":[0.0002317121,0.00009676383,0.8556773,4.735701e-7,0.00001261351,8.220487e-7,0.002354498,0.00005691565,0.00007136454,0.005557415,0.1358483,0.00009178343],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.932233,0.0009258284,0.00001940273,0.0653493,0.00004764962,0.001039541,0.00002822263,0.00003047833,0.0003265198],"genre_scores_gemma":[0.997293,0.0001473918,0.0006425394,0.001740219,0.00008005954,0.00001013336,0.000005208098,0.000004728348,0.00007673483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1311833,"threshold_uncertainty_score":0.4799436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007050535650715901,"score_gpt":0.23696314652189,"score_spread":0.2299126108711742,"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."}}