{"id":"W6962453132","doi":"10.15468/dl.u2tfk2","title":"Occurrence Download","year":2022,"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":[0.00115221,0.002075381,0.001689334,0.005128709,0.001093324,0.002820539,0.003053855,0.002146576,0.1684631],"category_scores_gemma":[0.006656835,0.001010406,0.001214349,0.01002299,0.000472328,0.002466927,0.002673712,0.002116169,0.2401591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001725692,"about_ca_system_score_gemma":0.002549975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02355717,"about_ca_topic_score_gemma":0.03830797,"domain_scores_codex":[0.9988095,0.0001598012,0.000155241,0.0004181523,0.0002689209,0.00018842],"domain_scores_gemma":[0.9972296,0.0007901692,0.0002536127,0.0007269952,0.0006879381,0.0003117099],"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":[0.00002652364,0.0000102082,0.0003220698,0.0004780103,0.00001389388,0.00001367051,0.00002198929,0.0001054543,0.0001028601,0.0003554358,0.9973386,0.001211254],"study_design_scores_gemma":[0.00007030518,0.000007279828,0.001670975,0.0001855536,0.00001409014,0.0000354469,0.00006948373,0.0001388178,0.0001804909,0.0007357746,0.9968741,0.00001761002],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003322021,0.00002318412,0.00004263485,0.00003317067,0.00001069269,0.000004702228,0.9989145,0.0003554397,0.0005824802],"genre_scores_gemma":[0.0001355556,0.00002974866,0.0001775297,0.00004026813,0.000003065871,0.00003826559,0.9989983,0.0001501553,0.0004271148],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8315369,"threshold_uncertainty_score":0.5635653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}