{"id":"W6887346995","doi":"10.15468/dl.ybxdfg","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":[0.0009580919,0.002420606,0.00149854,0.004833854,0.001068788,0.002401956,0.003118085,0.002072456,0.1009968],"category_scores_gemma":[0.005577212,0.0009048174,0.001276139,0.009014693,0.000483746,0.002253293,0.002471214,0.001951494,0.1515449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00184342,"about_ca_system_score_gemma":0.002709013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02607722,"about_ca_topic_score_gemma":0.04490657,"domain_scores_codex":[0.9989248,0.0001454852,0.000148124,0.0003718553,0.0002540373,0.0001557127],"domain_scores_gemma":[0.9978892,0.0005841781,0.0002018026,0.0005469355,0.0005130057,0.0002648773],"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":[0.00004126823,0.00001703518,0.0004349515,0.0005605074,0.00001703273,0.00002273547,0.00002653356,0.0001831137,0.0001544612,0.0004963824,0.9962054,0.001840432],"study_design_scores_gemma":[0.00008691823,0.00001106045,0.001741279,0.0001719798,0.00001560836,0.0000598345,0.00007536702,0.0002904024,0.0002729913,0.0009488376,0.9963061,0.00001959496],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008204781,0.00004505214,0.0000738137,0.00005199151,0.00001376526,0.00000831573,0.9981273,0.0007292359,0.0008686214],"genre_scores_gemma":[0.0001814055,0.00003991454,0.0002709551,0.00004571793,0.000002673236,0.00003696713,0.9988631,0.0001408566,0.0004182693],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8990031,"threshold_uncertainty_score":0.3378682,"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."}}