{"id":"W6886962987","doi":"10.15468/dl.m24wcz","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); Confidentiality","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":[0.001051423,0.001908583,0.001496713,0.004655225,0.001042136,0.00249366,0.002836055,0.002102709,0.156084],"category_scores_gemma":[0.00613108,0.0008800501,0.0011414,0.00885612,0.000453421,0.002485376,0.00255712,0.002128861,0.219317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001565374,"about_ca_system_score_gemma":0.002339142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01984263,"about_ca_topic_score_gemma":0.03643143,"domain_scores_codex":[0.9989049,0.0001644255,0.0001325686,0.000392917,0.0002350608,0.0001700932],"domain_scores_gemma":[0.9973207,0.0007648957,0.0002365089,0.0007384069,0.000640458,0.0002990625],"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":[0.00002598988,0.00001168963,0.0003291873,0.0004318763,0.0000120862,0.00001256982,0.00002130272,0.0001154458,0.00009802587,0.0003699363,0.99732,0.001251831],"study_design_scores_gemma":[0.00006706153,0.000007971272,0.001582138,0.000167903,0.00001204656,0.00003323759,0.00006873871,0.0001547154,0.0001747521,0.000847683,0.9968669,0.000016928],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004602749,0.00002695127,0.00005268861,0.00004244143,0.00001390652,0.000006037349,0.9986385,0.0004222593,0.0007511422],"genre_scores_gemma":[0.0001650007,0.00003069586,0.0002217415,0.00004931169,0.000003701665,0.00004529335,0.9988005,0.0001618409,0.0005219374],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8439161,"threshold_uncertainty_score":0.5221529,"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."}}