{"id":"W6961868853","doi":"10.15468/dl.bdcv5g","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Biomedical Text Mining and Ontologies","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":[0.0009690888,0.002518719,0.001509048,0.004963276,0.001082371,0.002458874,0.00310992,0.002183066,0.0990179],"category_scores_gemma":[0.005762224,0.0008984152,0.001307488,0.008964359,0.0004851731,0.002242496,0.002532537,0.001982235,0.1503856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001821946,"about_ca_system_score_gemma":0.002673781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02467651,"about_ca_topic_score_gemma":0.0426514,"domain_scores_codex":[0.998894,0.0001474246,0.0001503431,0.0003807111,0.0002686732,0.0001588244],"domain_scores_gemma":[0.9978498,0.0006083812,0.0002010467,0.0005460857,0.0005242273,0.00027051],"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":[0.00004054635,0.0000179513,0.0004409866,0.0005779373,0.0000170713,0.00002419075,0.00002675785,0.0001831677,0.0001545285,0.0004697444,0.9961215,0.001925632],"study_design_scores_gemma":[0.00008766425,0.00001161734,0.001770873,0.0001778914,0.00001605764,0.00006348999,0.00007554788,0.0003142534,0.0002861889,0.0009525285,0.9962238,0.00002014765],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008959507,0.00005092419,0.00007618076,0.00005521788,0.00001517198,0.000009144223,0.9979882,0.0007956916,0.0009199497],"genre_scores_gemma":[0.0001935248,0.00004129645,0.0002935007,0.00004755568,0.000002958407,0.00004045767,0.9987879,0.0001472832,0.0004455122],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9009821,"threshold_uncertainty_score":0.3312479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01142634990495084,"score_gpt":0.2390157115319853,"score_spread":0.2275893616270345,"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."}}