{"id":"W6962706708","doi":"10.15468/dl.vydwtb","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); Order (exchange); 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":[0.0009982917,0.002025181,0.001674745,0.005420055,0.00105112,0.002686214,0.00289373,0.002080322,0.1493615],"category_scores_gemma":[0.006000295,0.0009272732,0.001160069,0.01101511,0.0004579339,0.002267444,0.002596544,0.002007902,0.2098611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001712394,"about_ca_system_score_gemma":0.002703793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02830927,"about_ca_topic_score_gemma":0.04676993,"domain_scores_codex":[0.9988912,0.0001461829,0.0001390929,0.0003845508,0.0002520915,0.0001869072],"domain_scores_gemma":[0.9975395,0.0006778947,0.0002340533,0.0006364273,0.0006153875,0.0002967063],"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":[0.00002984773,0.00001080963,0.0003860192,0.0005667162,0.00001602286,0.00001575459,0.00002568798,0.000124652,0.0001218416,0.0003944153,0.9969638,0.001344474],"study_design_scores_gemma":[0.0000676315,0.000007272547,0.001898606,0.0001952058,0.00001489446,0.0000374011,0.00007521088,0.0001301004,0.0001838755,0.0007249171,0.9966467,0.00001825739],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003873602,0.00002738281,0.00003900328,0.00003140267,0.00001008733,0.000004476247,0.998928,0.0003362503,0.0005845721],"genre_scores_gemma":[0.0001472929,0.00003226026,0.0001687778,0.0000394702,0.000002804639,0.00003472599,0.9990243,0.000132167,0.0004181731],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8506385,"threshold_uncertainty_score":0.4996639,"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."}}