{"id":"W4312123991","doi":"10.3390/d14121099","title":"Obligation to Enhance OBIS Data for Sea- and Shorebirds of the Americas","year":2022,"lang":"en","type":"article","venue":"Diversity","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Oceanic and Atmospheric Administration; Nuclear Safety and Security Commission; Alfred P. Sloan Foundation; University of South Florida; McKnight Foundation; Center for Exercise Medicine, University of Alabama at Birmingham; Florida Education Fund; National Aeronautics and Space Administration","keywords":"Ecoregion; Geography; Bay; Biodiversity; Marine ecosystem; Marine protected area; Seascape; Marine Strategy Framework Directive; Oceanography; Fishery; Ecology; Ecosystem; Habitat; Biology; Archaeology","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":[0.01692886,0.0006069758,0.0007185401,0.01149247,0.001477604,0.003822225,0.001731266,0.0008979103,0.01271925],"category_scores_gemma":[0.05435096,0.0006310037,0.0005894248,0.01431109,0.0008727176,0.005356702,0.005395811,0.001812591,0.007482843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001388099,"about_ca_system_score_gemma":0.005780247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01897232,"about_ca_topic_score_gemma":0.02182437,"domain_scores_codex":[0.9905769,0.001855873,0.002382801,0.001362202,0.003176229,0.0006459845],"domain_scores_gemma":[0.9078106,0.01068491,0.01763113,0.02542251,0.03162553,0.00682527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005908714,0.0003034652,0.4133128,0.001671969,0.0002238914,0.0003470689,0.003264441,0.0004732623,0.007792862,0.007379661,0.3696109,0.1950287],"study_design_scores_gemma":[0.00006948959,0.00008452743,0.2774481,0.0009025615,0.00009058408,0.0002327713,0.002128255,0.0007252474,0.0037891,0.002173315,0.7122739,0.00008212],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1228949,0.001770524,0.01829612,0.01042702,0.002719111,0.002106404,0.7773898,0.004048273,0.06034784],"genre_scores_gemma":[0.166856,0.001393012,0.09282017,0.005112084,0.00133963,0.003760807,0.716724,0.001771688,0.01022256],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01897232,"threshold_uncertainty_score":0.0895294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05425546704012933,"score_gpt":0.286408842626977,"score_spread":0.2321533755868476,"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."}}