{"id":"W7089377815","doi":"10.15468/dl.njve4c","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":"Download; Matching (statistics); Range (aeronautics); Set (abstract data type); Data set","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":[0.001081372,0.002019588,0.001730269,0.00488618,0.001014356,0.002780488,0.003020277,0.002131363,0.1664744],"category_scores_gemma":[0.006307099,0.0009365563,0.001105217,0.00942554,0.0004672327,0.002419546,0.002661667,0.002048303,0.2167806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00171607,"about_ca_system_score_gemma":0.002397797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01909363,"about_ca_topic_score_gemma":0.03119454,"domain_scores_codex":[0.9990159,0.0001362998,0.000133186,0.0003418043,0.0002205664,0.0001522049],"domain_scores_gemma":[0.9977965,0.0006350784,0.0002088028,0.0005507977,0.0005261325,0.0002827703],"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":[0.00003615202,0.00001261745,0.0003869714,0.000622741,0.00001720538,0.00001710747,0.00002391625,0.0001512089,0.0001162339,0.0004484746,0.9965801,0.001587354],"study_design_scores_gemma":[0.00008717045,0.000007988557,0.001602833,0.0002091158,0.00001522336,0.00003645586,0.00006780049,0.000183823,0.0001941232,0.0009188299,0.9966589,0.00001758774],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004043123,0.00002913302,0.00004745421,0.00003431193,0.00001009035,0.000005571551,0.9988301,0.0004134137,0.0005893574],"genre_scores_gemma":[0.0001644061,0.00003519099,0.0002161719,0.0000415404,0.00000299433,0.00003858087,0.9989422,0.000151725,0.0004072829],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8335255,"threshold_uncertainty_score":0.5569124,"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."}}