{"id":"W6962008139","doi":"10.15468/dl.a8cwtt","title":"Occurrence Download","year":2024,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geodetic datum; Coordinate system; Matching (statistics); Download; Range (aeronautics); Geographic coordinate conversion","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":[0.0009185041,0.001863479,0.001570465,0.004906271,0.001075483,0.002989386,0.002795403,0.00187695,0.2011926],"category_scores_gemma":[0.006332768,0.0009487474,0.001368874,0.009553848,0.0004119225,0.002604118,0.002828647,0.001921122,0.2891937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001471556,"about_ca_system_score_gemma":0.002341667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02041206,"about_ca_topic_score_gemma":0.03195874,"domain_scores_codex":[0.998919,0.0001334584,0.0001360046,0.0003869784,0.0002343656,0.0001902355],"domain_scores_gemma":[0.9974881,0.0006580179,0.0002027913,0.0007017833,0.0006872932,0.0002620028],"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":[0.0000279946,0.000009578197,0.0004193885,0.0005123731,0.00001459135,0.00001629403,0.00002578027,0.0001218002,0.0001188293,0.0003848201,0.9964355,0.001912928],"study_design_scores_gemma":[0.00004913026,0.000006607401,0.001551296,0.0001528185,0.00001209528,0.00003234673,0.00007455954,0.0001584642,0.0001726557,0.0007533346,0.9970208,0.00001589831],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004714212,0.00002965124,0.00006753293,0.00004380084,0.00001730962,0.000006301413,0.9981864,0.000693749,0.0009081103],"genre_scores_gemma":[0.0001876756,0.00003992322,0.0002689506,0.00005224015,0.000004869509,0.00004563799,0.9984753,0.0002579863,0.0006674465],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7988074,"threshold_uncertainty_score":0.6730563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}