{"id":"W6943805799","doi":"10.15468/dl.xkdvek","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":[0.001153231,0.001964782,0.001706648,0.005506433,0.001074011,0.002938829,0.003037538,0.00201354,0.1844062],"category_scores_gemma":[0.006977212,0.001020459,0.001187636,0.0110063,0.0004714927,0.002533501,0.002811499,0.002125764,0.2411768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001589711,"about_ca_system_score_gemma":0.002513923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02136534,"about_ca_topic_score_gemma":0.03488126,"domain_scores_codex":[0.9988348,0.0001564933,0.0001580474,0.0004023095,0.0002615174,0.0001869922],"domain_scores_gemma":[0.9971571,0.0008235722,0.0002610988,0.0007403562,0.0007020818,0.0003158736],"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":[0.00002617561,0.000009584638,0.000321938,0.0005482092,0.00001422934,0.00001434934,0.0000244138,0.0001016383,0.0001043132,0.0003996625,0.9971483,0.001287314],"study_design_scores_gemma":[0.00006152383,0.000006298832,0.001489346,0.0001883613,0.00001333514,0.000033476,0.00007181706,0.0001112051,0.0001639323,0.0007609252,0.9970832,0.00001655413],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003261111,0.00002367405,0.00004717011,0.00003361128,0.00001155617,0.000005106161,0.9988304,0.0003641825,0.0006516953],"genre_scores_gemma":[0.0001470332,0.00003421863,0.0002029326,0.00004400829,0.000003422579,0.00004404596,0.9988594,0.000183979,0.0004809424],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8155938,"threshold_uncertainty_score":0.6169003,"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."}}