{"id":"W1967747498","doi":"10.1029/2003eo390014","title":"Ecosystems of the Deep Oceans (Ecosystems of the World 28)","year":2003,"lang":"en","type":"article","venue":"Eos","topic":"Marine Biology and Ecology Research","field":"Earth and Planetary Sciences","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Ecosystem; Marine ecosystem; Ecology; Process (computing); Environmental ethics; Environmental resource management; Geography; Environmental science; Biology; Computer science; Philosophy","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006593257,0.0000656846,0.000148621,0.00003453882,0.0001355797,0.000004971229,0.0003994968,0.00006751932,0.003553751],"category_scores_gemma":[0.0001352521,0.00003182603,0.00007880198,0.0002569848,0.0001371216,0.00002811311,0.00002205576,0.000153464,0.00008069768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002391167,"about_ca_system_score_gemma":0.00005840537,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006993406,"about_ca_topic_score_gemma":0.1146953,"domain_scores_codex":[0.9989306,0.0004093994,0.0002077421,0.000116584,0.0001324068,0.0002032904],"domain_scores_gemma":[0.9992921,0.0002589115,0.00008066323,0.000302088,0.00003133315,0.00003495101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007842042,0.000009264331,0.9972516,0.00002360714,0.00001828561,5.212465e-7,0.00005593436,0.0000802202,0.00002270596,0.0003126362,0.001740348,0.0004770624],"study_design_scores_gemma":[0.0001438508,0.00005203416,0.9426497,0.00001674528,0.000008664726,0.00001513728,0.0001070735,0.001667696,0.001154439,0.0002367548,0.05388788,0.00006005293],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9346777,0.0002997076,0.000001665962,0.000222707,0.0009235337,0.0002358565,0.00002175108,0.000005293424,0.06361183],"genre_scores_gemma":[0.9947748,0.000008366034,0.00000745,0.00005191736,0.00004197249,0.000001312087,0.000004189094,0.000001416338,0.005108646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1139959,"threshold_uncertainty_score":0.9973571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01452499563314655,"score_gpt":0.2179607307439012,"score_spread":0.2034357351107546,"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."}}