{"id":"W6906045435","doi":"10.15468/dl.wd2wm6","title":"Occurrence Download","year":2023,"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":[0.0009349171,0.001923024,0.001652729,0.00536179,0.001100027,0.002895715,0.002855566,0.002057347,0.207013],"category_scores_gemma":[0.006598118,0.001007466,0.001143959,0.01060264,0.0004713201,0.002511999,0.002837284,0.002098758,0.2678272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001732932,"about_ca_system_score_gemma":0.002540491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02645568,"about_ca_topic_score_gemma":0.04350669,"domain_scores_codex":[0.9990144,0.0001187842,0.0001193955,0.000328722,0.0002483564,0.0001703611],"domain_scores_gemma":[0.9974808,0.0007313077,0.0002178525,0.0006069478,0.0006747834,0.0002882598],"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":[0.00002381952,0.000009041511,0.0003101585,0.0004907636,0.00001221705,0.00001487919,0.00002699065,0.0000945288,0.0001021259,0.0003755614,0.9970892,0.001450856],"study_design_scores_gemma":[0.0000567396,0.000005944124,0.001491744,0.0001968766,0.00001278277,0.00003589186,0.00008017394,0.0001204649,0.0001756452,0.0007259934,0.9970809,0.0000168216],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003510176,0.00002573609,0.00005151808,0.00003706478,0.00001153123,0.000004989221,0.9985756,0.0004703104,0.0007882036],"genre_scores_gemma":[0.0001774634,0.0000395366,0.0002440736,0.00004883841,0.000003771822,0.00004670543,0.9985677,0.0002606664,0.0006111915],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.792987,"threshold_uncertainty_score":0.6925275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}