{"id":"W4408095468","doi":"10.3389/focsu.2025.1522648","title":"Publishing datasets, using artificial intelligence to help with metadata, can enhance ocean sustainability research and management","year":2025,"lang":"en","type":"article","venue":"Frontiers in Ocean Sustainability","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"HORIZON EUROPE Framework Programme","keywords":"Metadata; Publishing; Sustainability; Data science; Metadata management; World Wide Web; Computer science; Knowledge management; Environmental resource management; Environmental science; Ecology; Biology; Political science","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.02011311,0.0007760138,0.0007616933,0.01120079,0.00247076,0.01457341,0.002678575,0.003416964,0.02561053],"category_scores_gemma":[0.07804631,0.0008515388,0.002108661,0.01681712,0.002494767,0.02627468,0.01363137,0.004087225,0.02014131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003072528,"about_ca_system_score_gemma":0.005593631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004905071,"about_ca_topic_score_gemma":0.005931359,"domain_scores_codex":[0.9846166,0.006027051,0.002591791,0.00224362,0.004114421,0.0004064238],"domain_scores_gemma":[0.9416527,0.01969996,0.004150717,0.02408614,0.008722681,0.001687879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000871272,0.0001031912,0.009517704,0.002039997,0.0002668315,0.0001928409,0.001548929,0.001973761,0.001905671,0.1701841,0.3404443,0.4717355],"study_design_scores_gemma":[0.00001646839,0.00002182614,0.002605081,0.001086503,0.0000445506,0.0001175781,0.000912197,0.001158156,0.001275576,0.09193023,0.9007568,0.00007497049],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.01213189,0.02178435,0.5302986,0.1362873,0.02312423,0.001363379,0.09484543,0.01518505,0.1649798],"genre_scores_gemma":[0.09018193,0.03138598,0.700913,0.01872192,0.009329093,0.001505059,0.1087185,0.004426162,0.03481842],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.9973214,"threshold_uncertainty_score":0.1063696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02471259131805145,"score_gpt":0.3035481909006287,"score_spread":0.2788355995825772,"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."}}