{"id":"W6905828701","doi":"10.15468/dl.n9wrr2","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); Data set; 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":[0.001120125,0.001905025,0.001643823,0.005415631,0.001050711,0.002885133,0.002933682,0.001952309,0.1829546],"category_scores_gemma":[0.006849536,0.000990104,0.001171932,0.01090949,0.0004676834,0.002453461,0.002787334,0.002046413,0.2397321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001589256,"about_ca_system_score_gemma":0.002480868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02184608,"about_ca_topic_score_gemma":0.03461976,"domain_scores_codex":[0.9988475,0.0001534741,0.0001540485,0.0003965418,0.0002610597,0.0001874238],"domain_scores_gemma":[0.997179,0.0008088781,0.0002644652,0.0007396089,0.0006890909,0.0003188885],"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":[0.00002611208,0.000009246723,0.000336274,0.0005040371,0.00001410332,0.00001386101,0.00002378373,0.0001035704,0.00009668803,0.0003838121,0.9972149,0.001273472],"study_design_scores_gemma":[0.00006147024,0.000006307982,0.001568435,0.0001856945,0.00001335476,0.00003344314,0.00007251299,0.0001140362,0.000161868,0.0007516798,0.9970149,0.00001646601],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003254481,0.00002247101,0.00004339802,0.00003325494,0.00001120184,0.000004680085,0.998895,0.000338729,0.000618763],"genre_scores_gemma":[0.0001480087,0.00003361442,0.0001893801,0.00004356024,0.000003432302,0.00004128116,0.9988752,0.0001759853,0.0004895107],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8170455,"threshold_uncertainty_score":0.612044,"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."}}