{"id":"W6924730236","doi":"10.15468/dl.uthc5g","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Download; Range (aeronautics); State (computer science); 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":[0.001015388,0.001948475,0.001544351,0.004695476,0.0008940029,0.002447,0.002729854,0.002008311,0.1466715],"category_scores_gemma":[0.006145627,0.0009013742,0.00113195,0.00936273,0.000442953,0.002019871,0.002296958,0.001915299,0.1925096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00160062,"about_ca_system_score_gemma":0.002330249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02012766,"about_ca_topic_score_gemma":0.03360257,"domain_scores_codex":[0.9989167,0.0001634112,0.0001488498,0.0003880951,0.0002186135,0.0001643414],"domain_scores_gemma":[0.9974353,0.0007743044,0.0002678038,0.0006085145,0.0006199036,0.0002943245],"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":[0.00003300836,0.00001244894,0.0004488572,0.0005373911,0.00001526647,0.00001394553,0.00001968774,0.0001377311,0.00009355906,0.0003584899,0.9970707,0.001258931],"study_design_scores_gemma":[0.00009762162,0.000009879096,0.002064754,0.000194804,0.00001630028,0.00003819572,0.00006560134,0.0001872026,0.0001765701,0.00087535,0.996255,0.0000187007],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000395661,0.00002230506,0.00003681599,0.00003033844,0.00000987864,0.000004859467,0.9990766,0.000258013,0.000521637],"genre_scores_gemma":[0.000164467,0.00003218657,0.0001848225,0.00004506576,0.00000354118,0.00004368536,0.9989682,0.0001169758,0.0004410416],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8533285,"threshold_uncertainty_score":0.4906649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0265509267718164,"score_gpt":0.2173892653118478,"score_spread":0.1908383385400314,"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."}}