{"id":"W6943183799","doi":"10.15468/dl.qaj9b8","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":[0.001113599,0.002026056,0.001643619,0.005186902,0.001045986,0.002690065,0.002933797,0.002013433,0.1711683],"category_scores_gemma":[0.00643573,0.0009696591,0.001163544,0.01012717,0.000461682,0.002405498,0.002636772,0.002089499,0.2297372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001715697,"about_ca_system_score_gemma":0.002543594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02424029,"about_ca_topic_score_gemma":0.03875457,"domain_scores_codex":[0.9988803,0.0001472715,0.0001451655,0.0003837053,0.0002586287,0.0001849328],"domain_scores_gemma":[0.9973316,0.0007658493,0.0002529497,0.0006910728,0.0006544637,0.0003039974],"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":[0.00002743713,0.00001027951,0.0003357967,0.0004996135,0.00001436356,0.00001447643,0.00002385169,0.0001141009,0.0001125219,0.0003881287,0.9971718,0.001287604],"study_design_scores_gemma":[0.00006628386,0.000006856722,0.001689435,0.0001807923,0.00001386201,0.00003479811,0.00006888277,0.0001315716,0.0001870898,0.0007386587,0.9968643,0.00001731269],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003434643,0.00002226044,0.00004497898,0.00003263004,0.00001059605,0.000004695463,0.9988452,0.0003710938,0.0006341518],"genre_scores_gemma":[0.000143248,0.00002973084,0.0001853484,0.00003997702,0.000003009041,0.00003843668,0.9989354,0.000166101,0.0004588384],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8288317,"threshold_uncertainty_score":0.572615,"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."}}