{"id":"W2167045801","doi":"10.5194/bg-7-2851-2010","title":"Deep, diverse and definitely different: unique attributes of the world's largest ecosystem","year":2010,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine Biology and Ecology Research","field":"Earth and Planetary Sciences","cited_by":875,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Environment Research Council; Sight Research UK; Alfred P. Sloan Foundation; National Oceanic and Atmospheric Administration; National Science Foundation","keywords":"Habitat; Biome; Ecosystem; Deep sea; Biodiversity; Biota; Ecology; Fauna; Oceanography; Geography; Earth science; Environmental science; Geology; Biology","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":[0.0003441659,0.0002144851,0.0003792892,0.0007529871,0.0006763654,0.002357542,0.0001935574,0.0002935194,0.001324015],"category_scores_gemma":[0.0005278916,0.00008673777,0.0001912118,0.001748244,0.0007855592,0.002154632,0.001188257,0.0006315206,0.0002674364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003076023,"about_ca_system_score_gemma":0.0006635291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001693557,"about_ca_topic_score_gemma":0.003732087,"domain_scores_codex":[0.9998029,0.0000454553,0.00001724868,0.00005144301,0.00004662133,0.00003632321],"domain_scores_gemma":[0.9997711,0.0000304351,0.00005926373,0.00001377192,0.00004651229,0.00007907578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002352191,0.00006872437,0.2175883,0.004305775,0.0005681176,0.001627612,0.01328229,0.0004317763,0.01213303,0.03077962,0.03321333,0.6857662],"study_design_scores_gemma":[0.000009689839,0.0001702487,0.5636395,0.001749241,0.0003028486,0.006148172,0.01998073,0.0002656958,0.001057319,0.04549739,0.3610679,0.0001112778],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5067503,0.4242395,0.005405586,0.01670982,0.001198228,0.00003108631,0.00228839,0.00007604001,0.04330099],"genre_scores_gemma":[0.8419124,0.1446162,0.003909532,0.003742464,0.000483496,0.00002813724,0.001397177,0.00003577775,0.003874841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002357542,"threshold_uncertainty_score":0.00442934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.021337612701123,"score_gpt":0.2282994010736397,"score_spread":0.2069617883725167,"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."}}