{"id":"W6886935958","doi":"10.15468/dl.fvee5b","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":[0.0009634734,0.002346823,0.001705583,0.00464115,0.001013656,0.002620509,0.003101513,0.001987779,0.1447805],"category_scores_gemma":[0.006021698,0.0009790942,0.001253148,0.009253721,0.0004636328,0.002338173,0.002613958,0.002044461,0.2009219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00172187,"about_ca_system_score_gemma":0.002551462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02408465,"about_ca_topic_score_gemma":0.03993112,"domain_scores_codex":[0.9990039,0.0001348343,0.0001333053,0.0003545118,0.0002212946,0.0001522464],"domain_scores_gemma":[0.9978639,0.0006091337,0.0002004698,0.0005377055,0.0005320816,0.0002566724],"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":[0.00003964308,0.00001352789,0.000396601,0.0006210442,0.00001790236,0.00001884993,0.00002666157,0.0001598743,0.0001337685,0.0004734571,0.9964665,0.001632139],"study_design_scores_gemma":[0.00008686715,0.000008918376,0.001508549,0.0001790576,0.00001562697,0.00004254208,0.00006491863,0.0002081281,0.0002172312,0.0009426616,0.9967067,0.00001890355],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004996203,0.00003338224,0.00006245218,0.00003608803,0.00001111304,0.000006091522,0.9984316,0.0006556653,0.0007135784],"genre_scores_gemma":[0.0001608666,0.00003765854,0.0002586125,0.00004402931,0.000002701862,0.00003637967,0.9988048,0.0002153629,0.0004395998],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8552195,"threshold_uncertainty_score":0.4843391,"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."}}