{"id":"W6943059509","doi":"10.15468/dl.m24r6p","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); Data set; Set (abstract data type)","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":[0.001043489,0.001936043,0.00163189,0.005394227,0.0009943325,0.002743902,0.002856002,0.00206934,0.1609386],"category_scores_gemma":[0.006468195,0.0009358622,0.001180224,0.01076267,0.0004522917,0.00244315,0.002605266,0.002001282,0.2207924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001534951,"about_ca_system_score_gemma":0.002290032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01969375,"about_ca_topic_score_gemma":0.0328661,"domain_scores_codex":[0.9988652,0.0001564786,0.0001504057,0.0003995927,0.0002451984,0.0001831442],"domain_scores_gemma":[0.99737,0.0007609031,0.0002535253,0.0006905519,0.0006271862,0.0002978567],"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":[0.00002905535,0.00001061701,0.0003896878,0.0005717155,0.00001583176,0.00001489533,0.00002410949,0.0001280802,0.0001042932,0.0003923239,0.9968857,0.001433687],"study_design_scores_gemma":[0.00006717546,0.000007665151,0.001707887,0.0001989753,0.00001451159,0.00003605351,0.00007177402,0.0001383211,0.0001586513,0.0007451842,0.9968374,0.00001639617],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003964964,0.00002955531,0.00004371013,0.00003401773,0.0000116807,0.00000490559,0.9988875,0.0003339307,0.0006151117],"genre_scores_gemma":[0.000154975,0.0000353134,0.0001867016,0.00004221812,0.000003557077,0.00003882053,0.9989424,0.000141047,0.0004549228],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8390614,"threshold_uncertainty_score":0.5383931,"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."}}