{"id":"W6887279338","doi":"10.15468/dl.ubwxz6","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); State (computer science); Column (typography)","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":[0.0009312113,0.001980754,0.001525034,0.004529169,0.00096572,0.00238951,0.002723767,0.002092333,0.1456101],"category_scores_gemma":[0.005480782,0.0008898914,0.0012034,0.009031689,0.0004340734,0.002128477,0.002473803,0.001936873,0.2135276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001595409,"about_ca_system_score_gemma":0.00228196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02314571,"about_ca_topic_score_gemma":0.03659059,"domain_scores_codex":[0.999041,0.0001234616,0.0001226149,0.0003282314,0.0002221247,0.0001625152],"domain_scores_gemma":[0.9977708,0.0006034245,0.000208455,0.0005951387,0.000560676,0.0002614215],"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":[0.00002963217,0.00001186203,0.0004209114,0.0005127733,0.00001494263,0.00001674855,0.00002728641,0.0001380812,0.0001405428,0.0003916014,0.9967735,0.001522087],"study_design_scores_gemma":[0.00006867588,0.000007974443,0.001913298,0.0001766708,0.0000135886,0.00003955593,0.00007483867,0.0001773682,0.0002085951,0.0007285437,0.9965732,0.00001771814],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004716027,0.00002582893,0.00004898124,0.00003550543,0.00001208077,0.000005454076,0.9987525,0.000433676,0.000638964],"genre_scores_gemma":[0.000169788,0.00003039072,0.0002157428,0.00004278122,0.000003144609,0.00004092953,0.9989133,0.0001559207,0.0004279865],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8543899,"threshold_uncertainty_score":0.4871144,"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."}}