{"id":"W6963977987","doi":"10.25607/gpm2tv","title":"UNESCO eDNA expedition in Socotra Archipelago (Yemen): June 2023","year":2024,"lang":"en","type":"dataset","venue":"IOC of UNESCO (Intergovernmental Oceanographic Commission)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Ontario","funders":"","keywords":"Archipelago; Biodiversity; Environmental DNA; Marine research; Sampling (signal processing); Citizen science; Government (linguistics); Marine biodiversity","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005173622,0.0008725189,0.0005163104,0.002317884,0.0005577477,0.0008347025,0.000558457,0.000455791,0.03342871],"category_scores_gemma":[0.001269237,0.000262483,0.0003412135,0.00351349,0.0001995015,0.0005612778,0.001177052,0.0004674207,0.0138793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001226998,"about_ca_system_score_gemma":0.002114581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1047397,"about_ca_topic_score_gemma":0.1505686,"domain_scores_codex":[0.9997621,0.00002815943,0.00002649376,0.00005391922,0.0000493028,0.00008005642],"domain_scores_gemma":[0.9996579,0.00003321546,0.00006062027,0.00004930486,0.0001483713,0.00005054461],"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":[0.0006603563,0.0000399591,0.04504076,0.002054221,0.0001556523,0.0006495152,0.0004637307,0.001501538,0.001604023,0.001182757,0.8923727,0.05427491],"study_design_scores_gemma":[0.00009043272,0.00002742128,0.1411487,0.000744681,0.00004729814,0.0001905236,0.001057435,0.0008163752,0.001068882,0.0006745223,0.8540854,0.00004831895],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0106251,0.0006592531,0.0002879209,0.0002750286,0.0001926848,0.00005364391,0.9817623,0.0003741304,0.005769952],"genre_scores_gemma":[0.02550016,0.0006667564,0.001749368,0.0001481987,0.0000512785,0.000305779,0.9631388,0.0002238865,0.008215899],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1047397,"threshold_uncertainty_score":0.2082601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01060885223109624,"score_gpt":0.2652671795748419,"score_spread":0.2546583273437456,"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."}}