{"id":"W6887514466","doi":"10.1594/pangaea.955357","title":"FUN Azores: A trait database for the marine species of the ridges, seamounts, and hydrothermal vents of the Azores, NE Atlantic","year":2023,"lang":"en","type":"dataset","venue":"DIGITAL.CSIC (Spanish National Research Council (CSIC))","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"European Regional Development Fund","keywords":"Hydrothermal vent; Trait; Benthic zone; Fauna; Biodiversity; Ecosystem; Marine ecosystem; Pelagic zone","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":["metaresearch","metaepi_narrow","sts","open_science"],"consensus_categories":[],"category_scores_codex":[0.01634776,0.0009157633,0.001059187,0.0005161852,0.001154317,0.000883861,0.005436252,0.0004274046,0.0003597533],"category_scores_gemma":[0.06497098,0.0005496122,0.0006635886,0.002914449,0.003799378,0.0008884622,0.004369429,0.001991061,0.0005595108],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003735792,"about_ca_system_score_gemma":0.01495066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004693662,"about_ca_topic_score_gemma":0.01009242,"domain_scores_codex":[0.9677866,0.0006486361,0.001481594,0.001367721,0.02714148,0.001574047],"domain_scores_gemma":[0.9725368,0.009010107,0.001123593,0.002797753,0.01418482,0.0003469218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007133741,0.0005642041,0.0003297442,0.001112213,0.0008770556,0.00001656408,0.0001058001,0.00009348527,0.0001463123,0.002710911,0.9927123,0.0006180612],"study_design_scores_gemma":[0.00209134,0.0001893832,0.02215212,0.000851191,0.0002242377,0.0000331366,0.0002260257,0.0005288981,0.0001166411,0.002398074,0.9706627,0.0005263129],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003211182,0.000974235,0.000004563561,0.0009777067,0.0005329482,0.004593126,0.9867995,0.00006331906,0.002843394],"genre_scores_gemma":[0.03723411,0.00143508,0.0000237798,0.0003123576,0.001377108,0.001312196,0.9472886,0.0004871169,0.01052968],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04862322,"threshold_uncertainty_score":0.9999448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1879292735697183,"score_gpt":0.3423546096183089,"score_spread":0.1544253360485905,"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."}}