{"id":"W7105695547","doi":"10.15468/dl.m4qwsp","title":"Occurrence Download","year":2025,"lang":"","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Invertebrate; Extant taxon; Download; Shrimp; Crustacean; Fish <Actinopterygii>","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001116608,0.001884424,0.001746386,0.006345117,0.001091487,0.003145233,0.002652651,0.001916794,0.2498917],"category_scores_gemma":[0.008383045,0.001033483,0.001243164,0.01121475,0.0004353622,0.002710884,0.003068092,0.001904319,0.2933308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001630213,"about_ca_system_score_gemma":0.002491182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02016265,"about_ca_topic_score_gemma":0.03047022,"domain_scores_codex":[0.9987985,0.0001472474,0.0001755827,0.0004236551,0.0002566963,0.0001982638],"domain_scores_gemma":[0.9967563,0.0009816192,0.0003022372,0.0007797196,0.0008186275,0.0003615574],"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":[0.00003288503,0.000009263361,0.0003729277,0.000602027,0.00001336975,0.00001345605,0.00002546913,0.00009065347,0.00008752948,0.0003381596,0.9966465,0.001767853],"study_design_scores_gemma":[0.00007540823,0.000008553967,0.00169826,0.0002393111,0.00001359944,0.00003496496,0.00008092305,0.0001343633,0.0001422613,0.000752476,0.9968033,0.00001658843],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003059262,0.00002094716,0.00004189343,0.00003229672,0.00001091136,0.00000548688,0.9987866,0.0004444314,0.0006268602],"genre_scores_gemma":[0.0001595991,0.00003743764,0.0002393037,0.00005214214,0.000004612053,0.00005377459,0.9986248,0.0002513767,0.0005769531],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7501083,"threshold_uncertainty_score":0.835971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01434536157882973,"score_gpt":0.2311093459842124,"score_spread":0.2167639844053826,"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."}}