{"id":"W6906064061","doi":"10.15468/dl.tq5cgr","title":"Occurrence Download","year":2023,"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; State (computer science)","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":[0.0008769087,0.00202568,0.001637723,0.005217764,0.001165331,0.002780226,0.002945783,0.002272932,0.1522734],"category_scores_gemma":[0.005890739,0.0009299833,0.00144727,0.009980078,0.0004572519,0.002576153,0.002673891,0.002121849,0.2333296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001601723,"about_ca_system_score_gemma":0.002454195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02004901,"about_ca_topic_score_gemma":0.03304385,"domain_scores_codex":[0.9989094,0.0001473825,0.0001415577,0.0003950676,0.0002229604,0.0001836494],"domain_scores_gemma":[0.9977018,0.0006169551,0.0001949233,0.0006347547,0.0005944,0.0002570586],"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":[0.00003205858,0.00001274146,0.000426879,0.0006131978,0.00001581866,0.00001838227,0.00002403129,0.0001241912,0.0001229037,0.0003563027,0.9965608,0.00169273],"study_design_scores_gemma":[0.00007112885,0.000009452793,0.001802589,0.0002069746,0.00001583096,0.00004773007,0.0000777968,0.0001865584,0.0001972704,0.0007883112,0.9965788,0.00001764183],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005784169,0.00004346781,0.00005461655,0.00004769463,0.00001669424,0.000007129188,0.9984605,0.0005249783,0.0007870372],"genre_scores_gemma":[0.0001712425,0.00004252708,0.0002074217,0.00005489418,0.00000424372,0.00004396986,0.9988269,0.0001469882,0.000501816],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8477266,"threshold_uncertainty_score":0.5094051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}