{"id":"W6961739345","doi":"10.15468/dl.quu2y8","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":"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":[0.0008798674,0.001795753,0.001500234,0.004706985,0.001003979,0.002790721,0.002655809,0.001786518,0.1737192],"category_scores_gemma":[0.005813052,0.0008739029,0.001349824,0.008973615,0.0003978164,0.002436603,0.002702089,0.001881754,0.2599178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001375613,"about_ca_system_score_gemma":0.002193208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01906157,"about_ca_topic_score_gemma":0.03091297,"domain_scores_codex":[0.9989821,0.0001243239,0.000127456,0.0003669315,0.0002219046,0.0001773402],"domain_scores_gemma":[0.99766,0.0006057802,0.0001911172,0.0006823804,0.0006096313,0.0002509959],"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":[0.00003093553,0.00001040474,0.0004825561,0.0005278993,0.00001540923,0.00001771882,0.00002772641,0.0001315967,0.0001379997,0.0003989743,0.9961135,0.002105274],"study_design_scores_gemma":[0.00005128109,0.000006993839,0.001784099,0.0001550324,0.00001257394,0.00003676853,0.0000792253,0.0001761375,0.0001874842,0.0007823315,0.9967121,0.00001609776],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005453061,0.00003161478,0.00007256342,0.00004381532,0.00001788436,0.000006572257,0.9981205,0.000738626,0.0009139107],"genre_scores_gemma":[0.0002071224,0.00004030478,0.0002944836,0.0000528571,0.000004995447,0.00004709788,0.998484,0.0002457213,0.0006234364],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8262808,"threshold_uncertainty_score":0.5811485,"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."}}