{"id":"W6906104168","doi":"10.15468/dl.u2m4ey","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","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":[0.001016624,0.002086831,0.001646394,0.004870236,0.001025694,0.002660739,0.002876953,0.002180153,0.1588854],"category_scores_gemma":[0.006062453,0.0009528965,0.001173609,0.009624062,0.000469332,0.002482751,0.002622402,0.002117375,0.2290573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001599279,"about_ca_system_score_gemma":0.002364445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02016165,"about_ca_topic_score_gemma":0.0353159,"domain_scores_codex":[0.9989008,0.0001553438,0.0001335206,0.0003945741,0.0002397973,0.0001759288],"domain_scores_gemma":[0.9973384,0.0007495918,0.0002448322,0.0007260164,0.0006340818,0.0003071197],"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":[0.0000278738,0.00001124528,0.0003335324,0.0004857859,0.00001329769,0.00001381557,0.0000219919,0.0001165259,0.0001046843,0.00036287,0.9973144,0.001194027],"study_design_scores_gemma":[0.00007569504,0.000007818866,0.001695599,0.0001701752,0.00001288588,0.00003455321,0.00006980146,0.0001460685,0.0001810811,0.0008482505,0.9967402,0.00001808736],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003805308,0.00002328562,0.00004400985,0.00003469974,0.00001107564,0.000005068114,0.9988548,0.0003746271,0.0006143795],"genre_scores_gemma":[0.0001586567,0.00002917501,0.0001977137,0.00004464503,0.000003444862,0.00004167618,0.9988962,0.0001553407,0.0004732024],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8411146,"threshold_uncertainty_score":0.5315247,"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."}}