{"id":"W6943615239","doi":"10.15468/dl.wc83tf","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":[0.0009068305,0.001874094,0.001567157,0.004954143,0.001080728,0.002907183,0.002831504,0.001879397,0.1820809],"category_scores_gemma":[0.006101883,0.0009362003,0.001395044,0.009375724,0.0004161564,0.002605399,0.002814067,0.001955855,0.2670891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001430611,"about_ca_system_score_gemma":0.00231258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01960293,"about_ca_topic_score_gemma":0.03253656,"domain_scores_codex":[0.9989223,0.0001327779,0.0001343118,0.0003890872,0.0002335836,0.0001879098],"domain_scores_gemma":[0.9975689,0.0006248972,0.0001953402,0.0007046751,0.0006479673,0.0002581295],"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":[0.00002979744,0.00001020115,0.0004745169,0.0005195136,0.00001600561,0.00001747803,0.00002696414,0.0001341338,0.0001316432,0.0003906951,0.9961917,0.002057341],"study_design_scores_gemma":[0.0000514607,0.000007029615,0.00169411,0.0001527608,0.00001322162,0.00003647311,0.00007880355,0.0001760782,0.0001850894,0.0007923669,0.9967958,0.00001676935],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005492696,0.0000331375,0.00007538158,0.00004508522,0.00001883873,0.000006580114,0.9981184,0.0007497732,0.0008979035],"genre_scores_gemma":[0.0001926219,0.00004024929,0.0002896236,0.00005086823,0.000004900591,0.00004608417,0.9985025,0.0002445392,0.0006286275],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8179191,"threshold_uncertainty_score":0.6091214,"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."}}