{"id":"W6962078202","doi":"10.15468/dl.pkdtm3","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","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":[0.001025825,0.002006826,0.001645733,0.004925557,0.001025385,0.002657162,0.002883848,0.002087892,0.178013],"category_scores_gemma":[0.006327105,0.0009566119,0.001173578,0.009772305,0.0004546653,0.00252167,0.002647106,0.002067649,0.2390374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001555905,"about_ca_system_score_gemma":0.002377478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02074644,"about_ca_topic_score_gemma":0.03655265,"domain_scores_codex":[0.9989325,0.0001525392,0.000133275,0.0003832574,0.0002268261,0.0001716051],"domain_scores_gemma":[0.9973014,0.0007776347,0.0002443792,0.0007199075,0.0006436344,0.0003129386],"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":[0.00002597714,0.0000107108,0.0003208567,0.0004905176,0.00001320421,0.00001310152,0.00002177321,0.0001075205,0.000094622,0.0003560104,0.9973321,0.001213704],"study_design_scores_gemma":[0.0000713569,0.000007407871,0.001586582,0.0001783615,0.00001298651,0.0000324419,0.00006684336,0.0001323735,0.0001638551,0.0008298419,0.9969004,0.0000175044],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003599345,0.00002375909,0.00004313113,0.00003449586,0.00001093853,0.000005237762,0.998828,0.0003670291,0.0006514089],"genre_scores_gemma":[0.0001551469,0.00003167387,0.0002042577,0.00004847125,0.000003551012,0.00004511344,0.9988365,0.0001695914,0.0005057894],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.821987,"threshold_uncertainty_score":0.5955129,"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."}}