{"id":"W6943457012","doi":"10.15468/dl.ywbxht","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":[0.0009525796,0.002293085,0.001633156,0.004473733,0.001004688,0.002541637,0.003081739,0.001970866,0.1311335],"category_scores_gemma":[0.005743705,0.0009399009,0.001237254,0.008860063,0.000468915,0.00231701,0.002572324,0.001991059,0.1923386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001709309,"about_ca_system_score_gemma":0.002552427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02484786,"about_ca_topic_score_gemma":0.04226899,"domain_scores_codex":[0.9989988,0.0001356599,0.0001331807,0.0003550964,0.0002221005,0.0001551523],"domain_scores_gemma":[0.9979441,0.0005516057,0.0001918022,0.0005283097,0.0005252572,0.0002590731],"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":[0.00003937927,0.00001399712,0.0004076909,0.0005757121,0.00001659728,0.00001799364,0.00002519078,0.0001553097,0.0001307465,0.0004543003,0.9965593,0.001603745],"study_design_scores_gemma":[0.0000880502,0.000009877979,0.001592694,0.0001753537,0.00001499113,0.00004416288,0.00006951767,0.0002191995,0.0002176298,0.0009278941,0.9966214,0.0000192335],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005398303,0.00003407626,0.0000584785,0.00003695696,0.00001149641,0.000006194277,0.9984844,0.0006151274,0.0006992305],"genre_scores_gemma":[0.0001612965,0.00003655454,0.0002426798,0.00004417859,0.000002676541,0.00003433228,0.9988821,0.0001755173,0.0004206641],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8688665,"threshold_uncertainty_score":0.4386852,"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."}}