{"id":"W6905577152","doi":"10.15468/dl.duehx6","title":"Occurrence Download","year":2024,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Set (abstract data type); Data set","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":[0.001086644,0.001938538,0.001623022,0.004936495,0.001056764,0.002640064,0.002939828,0.002006019,0.1772803],"category_scores_gemma":[0.006385288,0.0009922028,0.001180126,0.009752176,0.0004633896,0.002350127,0.002666287,0.002072037,0.2356958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001631249,"about_ca_system_score_gemma":0.002452776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02229909,"about_ca_topic_score_gemma":0.03664607,"domain_scores_codex":[0.9989271,0.000142062,0.0001349101,0.0003759162,0.0002463683,0.0001736518],"domain_scores_gemma":[0.9974493,0.0007285628,0.0002299244,0.0006665963,0.0006344189,0.0002910755],"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":[0.00002564086,0.000009826873,0.0003410411,0.0004731957,0.00001390244,0.00001330692,0.00002433421,0.0001125655,0.0001142103,0.0003907933,0.99709,0.001391162],"study_design_scores_gemma":[0.00005839574,0.000006309375,0.00152974,0.0001673254,0.00001310713,0.00003253872,0.00006690439,0.0001209593,0.0001849509,0.0007460398,0.9970572,0.0000164695],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003725937,0.00002388965,0.00005013581,0.00003442414,0.00001157021,0.000004773326,0.9987686,0.0003899763,0.0006794067],"genre_scores_gemma":[0.0001583125,0.00003130731,0.0002157363,0.00004231712,0.000003220952,0.00004147672,0.9988034,0.0001880814,0.0005162358],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8227198,"threshold_uncertainty_score":0.5930616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}