{"id":"W6905856768","doi":"10.15468/dl.rbgfnm","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":[0.0009385801,0.002307273,0.001607538,0.004512995,0.0009926287,0.002514752,0.003048242,0.002015987,0.1305867],"category_scores_gemma":[0.005813221,0.0009330559,0.001246993,0.008811596,0.0004627941,0.002301154,0.002586912,0.001985753,0.1927798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001713944,"about_ca_system_score_gemma":0.002543709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02447857,"about_ca_topic_score_gemma":0.04154617,"domain_scores_codex":[0.9990026,0.0001325219,0.0001344621,0.000354391,0.000222746,0.0001532801],"domain_scores_gemma":[0.99794,0.0005506162,0.0001919043,0.000534665,0.0005292914,0.0002535766],"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":[0.00003918424,0.00001391483,0.0004172513,0.0006020729,0.00001708786,0.00001853315,0.00002615092,0.000158608,0.000139214,0.0004631185,0.9964473,0.001657528],"study_design_scores_gemma":[0.00008484766,0.00000952661,0.001598349,0.000177735,0.00001508854,0.00004251846,0.00006866234,0.0002129856,0.0002179096,0.0009076014,0.9966456,0.0000190899],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005458382,0.00003522261,0.00005910807,0.00003695271,0.00001168271,0.000006267398,0.9984592,0.0006233282,0.0007135733],"genre_scores_gemma":[0.0001645447,0.00003778542,0.0002548465,0.00004453876,0.000002746677,0.00003524592,0.9988495,0.0001787413,0.0004320429],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8694133,"threshold_uncertainty_score":0.4368562,"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."}}