{"id":"W6962569189","doi":"10.15468/dl.rkqz8q","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); Alien","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":[0.0009977225,0.001923569,0.001609774,0.005309455,0.001048353,0.002769451,0.002774867,0.002080861,0.1768175],"category_scores_gemma":[0.006259646,0.000904068,0.001273202,0.01002929,0.0004318033,0.002427079,0.002562569,0.00200445,0.2537711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001655867,"about_ca_system_score_gemma":0.002443538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02138685,"about_ca_topic_score_gemma":0.03457462,"domain_scores_codex":[0.9989453,0.000145134,0.0001355499,0.0003673542,0.0002342245,0.0001725359],"domain_scores_gemma":[0.9975077,0.0007367757,0.0002153008,0.000613604,0.0006597566,0.0002667748],"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":[0.00002820147,0.00001132748,0.0003321071,0.000600152,0.00001381787,0.00001461845,0.00002183547,0.0001047596,0.0001114373,0.0003684699,0.996849,0.001544285],"study_design_scores_gemma":[0.00006484413,0.000008014427,0.001618138,0.0002164611,0.00001410932,0.00003363107,0.00007035751,0.0001346624,0.000182172,0.0007401317,0.9969008,0.00001671407],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003644792,0.00003103959,0.00004246224,0.00003739019,0.00001194234,0.000005976762,0.9987441,0.0003758312,0.0007146634],"genre_scores_gemma":[0.0001464919,0.0000412473,0.0001986549,0.00004987012,0.000003791487,0.00004805119,0.9987929,0.0001532622,0.0005658325],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8231825,"threshold_uncertainty_score":0.5915134,"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."}}