{"id":"W4408816585","doi":"10.5194/oos2025-381","title":"For IOC session 2: Monitoring progress of the Kunming-Montreal Global Biodiversity Framework in the deep sea","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Marine Biology and Ecology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biodiversity; Ecosystem; Context (archaeology); Environmental resource management; Headline; Convention on Biological Diversity; Geography; Environmental science; Ecology; Business; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01813251,0.002600457,0.001155618,0.004912198,0.00388907,0.00935795,0.003540442,0.005411249,0.1014956],"category_scores_gemma":[0.01258905,0.0006252683,0.001441701,0.003209758,0.00121358,0.003285142,0.007442086,0.00402236,0.05301475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01048381,"about_ca_system_score_gemma":0.02327998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1424105,"about_ca_topic_score_gemma":0.2353985,"domain_scores_codex":[0.9934548,0.001288814,0.0002782871,0.0009142506,0.002828493,0.001235448],"domain_scores_gemma":[0.9805605,0.0009125643,0.001249434,0.0009394264,0.01024357,0.006094486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001820389,0.0001322113,0.004726977,0.0003951012,0.0000365598,0.0001197535,0.0005128768,0.0005268978,0.001347369,0.001364614,0.9532362,0.03741939],"study_design_scores_gemma":[0.00007003926,0.000124154,0.01899191,0.0006187857,0.00002394587,0.00004792173,0.0008595278,0.0006989371,0.000840822,0.00110849,0.9765375,0.00007819722],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02354325,0.01294184,0.02962877,0.09068472,0.04641114,0.02790497,0.1680675,0.01135494,0.5894629],"genre_scores_gemma":[0.09566851,0.007411846,0.04291223,0.01642251,0.01260331,0.01297968,0.1580503,0.003250567,0.6507011],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1424105,"threshold_uncertainty_score":0.3395366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02741034153111442,"score_gpt":0.3005226843513581,"score_spread":0.2731123428202437,"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."}}