{"id":"W6924741420","doi":"10.15468/dl.t5awax","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":[0.0009569739,0.002304425,0.00166815,0.004562344,0.001019776,0.002624576,0.003120063,0.00199056,0.1388577],"category_scores_gemma":[0.006030697,0.0009485269,0.001257727,0.009109117,0.0004605824,0.002384184,0.002608015,0.002026769,0.1963266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001732912,"about_ca_system_score_gemma":0.002559316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0243391,"about_ca_topic_score_gemma":0.04066633,"domain_scores_codex":[0.9989825,0.000138669,0.000136731,0.0003623782,0.0002249499,0.0001547598],"domain_scores_gemma":[0.9978555,0.0006016833,0.000199253,0.0005508681,0.0005345723,0.0002581525],"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":[0.00003837842,0.00001310367,0.0003917064,0.0005843824,0.00001691698,0.00001769064,0.00002507044,0.0001564807,0.0001230129,0.0004577824,0.9965436,0.001631933],"study_design_scores_gemma":[0.00008217979,0.000008843565,0.001444552,0.0001764027,0.00001498691,0.00004091165,0.00006525176,0.0002122255,0.0002071238,0.000930084,0.9967989,0.00001843164],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005038895,0.00003356631,0.0000613775,0.00003745735,0.00001147387,0.000006130172,0.9984383,0.0006456688,0.0007156027],"genre_scores_gemma":[0.0001621412,0.00003873012,0.0002541339,0.00004567363,0.000002770831,0.00003605632,0.9988187,0.0002023837,0.0004394533],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8611423,"threshold_uncertainty_score":0.4645253,"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."}}