{"id":"W6905934983","doi":"10.15468/dl.qj5xjg","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Range (aeronautics); Set (abstract data type); Identification (biology); Download","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":[0.0009531339,0.002294382,0.001617206,0.004481344,0.00100617,0.002539232,0.003088934,0.002007468,0.1274889],"category_scores_gemma":[0.00581585,0.000941142,0.001245357,0.008886104,0.0004694264,0.002318433,0.002566491,0.0020126,0.1869691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001725887,"about_ca_system_score_gemma":0.002561891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02493796,"about_ca_topic_score_gemma":0.04260854,"domain_scores_codex":[0.9989901,0.000137366,0.0001344979,0.0003575968,0.0002244375,0.0001560093],"domain_scores_gemma":[0.9979075,0.0005616428,0.0001958664,0.000541402,0.0005336869,0.0002599388],"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":[0.00004042179,0.00001431178,0.000419582,0.0005865031,0.00001697533,0.00001818129,0.00002583671,0.000161489,0.0001361764,0.0004646485,0.9964765,0.001639269],"study_design_scores_gemma":[0.00008876654,0.00001002223,0.001604705,0.0001774033,0.00001522482,0.00004404811,0.00007040479,0.0002230176,0.0002225381,0.000933337,0.9965912,0.00001941348],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005506881,0.00003422057,0.00005897557,0.00003766654,0.00001158019,0.000006300729,0.9984799,0.0006186129,0.0006976993],"genre_scores_gemma":[0.0001637766,0.00003695955,0.0002490917,0.00004510845,0.000002668083,0.00003529185,0.9988698,0.0001766615,0.0004206006],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8725111,"threshold_uncertainty_score":0.4264929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0089153214616674,"score_gpt":0.2136767702076688,"score_spread":0.2047614487460014,"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."}}