{"id":"W6887234929","doi":"10.15468/dl.xhgrbd","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":"Matching (statistics); Download; Alien; Range (aeronautics)","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":[0.0009227329,0.002069174,0.001515141,0.004834984,0.0009721538,0.002433581,0.002643414,0.001917667,0.1621377],"category_scores_gemma":[0.005857628,0.0009138084,0.001211646,0.009721923,0.0004396149,0.002181672,0.00251821,0.001814202,0.2214871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001449567,"about_ca_system_score_gemma":0.002285338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02035034,"about_ca_topic_score_gemma":0.03303515,"domain_scores_codex":[0.9989827,0.0001373348,0.0001286551,0.0003683582,0.0002108275,0.0001721156],"domain_scores_gemma":[0.9976192,0.0006840993,0.0002249098,0.0006118143,0.000585785,0.0002741197],"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":[0.00003403289,0.00001201905,0.0004021933,0.0005385864,0.00001446167,0.00001460649,0.00002162934,0.000131349,0.0001293542,0.0003621657,0.9968551,0.001484424],"study_design_scores_gemma":[0.00008070949,0.00001114155,0.001976759,0.0001841137,0.00001550366,0.00003773938,0.00006857583,0.0001595613,0.0002094837,0.0008046014,0.9964327,0.00001903869],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004714766,0.00002610703,0.00004116412,0.00003251183,0.00001249614,0.000004996113,0.9988199,0.0003814822,0.0006341825],"genre_scores_gemma":[0.000156536,0.00003189146,0.0001851264,0.00004373123,0.00000349222,0.000039182,0.9989259,0.0001462074,0.0004678634],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8378623,"threshold_uncertainty_score":0.5424046,"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."}}