{"id":"W2774396525","doi":"10.1139/facets-2017-0037","title":"Knowledge sharing about deep-sea ecosystems to inform conservation and research decisions","year":2017,"lang":"en","type":"article","venue":"FACETS","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Oceanic and Atmospheric Administration","keywords":"Seascape; Environmental resource management; Ecosystem; Marine ecosystem; Climate change; Geography; Environmental planning; Environmental science; Oceanography; Ecology; Geology; Habitat","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006976507,0.00009089043,0.0001353642,0.00004873517,0.001459522,0.000243153,0.0003717424,0.00004178293,0.0002066618],"category_scores_gemma":[0.0006633159,0.00007568625,0.00002056596,0.0001115209,0.00008560857,0.0003412684,0.002245827,0.0001072817,0.002113725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001148239,"about_ca_system_score_gemma":0.000007871005,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003270012,"about_ca_topic_score_gemma":0.0416824,"domain_scores_codex":[0.9989983,0.00001969417,0.0001731277,0.0002711406,0.0002448231,0.0002929232],"domain_scores_gemma":[0.999217,0.0001033893,0.00005237179,0.0004342007,0.00004312393,0.0001499237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001199911,0.00002446158,0.916505,0.00002011043,0.000008969929,0.000003010635,0.00144353,0.000006018742,0.0006120121,0.0004734964,0.02935185,0.05153948],"study_design_scores_gemma":[0.0001479233,0.00003863582,0.7111738,0.00005382764,0.000002045472,0.000003276344,0.0001104535,0.001903415,0.000104283,0.0003804462,0.2859907,0.00009127603],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9095312,0.00008297996,0.00005639481,0.001190388,0.0002339491,0.0003621429,0.000006348092,0.00002459657,0.08851195],"genre_scores_gemma":[0.9911829,0.0000403213,0.0001290382,0.00003993362,0.00005138442,0.00006487743,0.000002394268,0.000007020295,0.008482168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2566388,"threshold_uncertainty_score":0.9998404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1138936386308802,"score_gpt":0.369017093322685,"score_spread":0.2551234546918048,"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."}}