{"id":"W6905877622","doi":"10.15468/dl.p23haf","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); Geocoding","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":[0.0009553345,0.00198831,0.001613515,0.004743173,0.00100132,0.002568952,0.002858904,0.002088253,0.1636477],"category_scores_gemma":[0.005409555,0.0009347439,0.001171373,0.009249249,0.0004585821,0.002448698,0.002636902,0.002080853,0.2328236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00152731,"about_ca_system_score_gemma":0.002225367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01963439,"about_ca_topic_score_gemma":0.03600599,"domain_scores_codex":[0.9990323,0.000131595,0.000115776,0.0003481565,0.0002109613,0.0001613626],"domain_scores_gemma":[0.9977118,0.0006170009,0.0002102782,0.0006383426,0.0005475451,0.0002750024],"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":[0.00002772519,0.00001167665,0.0003534014,0.0005081733,0.00001418437,0.00001466599,0.00002418156,0.0001288607,0.000122106,0.0003991915,0.9970695,0.00132636],"study_design_scores_gemma":[0.00006690935,0.00000736926,0.001647665,0.0001591243,0.00001254607,0.00003396231,0.00006989326,0.0001408701,0.0001820681,0.00083875,0.996823,0.00001790733],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004250255,0.0000242626,0.00004925114,0.00003404211,0.00001186913,0.000005138507,0.9987755,0.0003923565,0.0006650602],"genre_scores_gemma":[0.0001567765,0.00003061966,0.0002202251,0.00004317738,0.000003371722,0.00004133771,0.9988326,0.0001668621,0.0005049539],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8363523,"threshold_uncertainty_score":0.547456,"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."}}