{"id":"W6905841363","doi":"10.15468/dl.s28kue","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); Alien; Range (aeronautics); The Internet","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":[0.0009717812,0.001775275,0.001510411,0.004832243,0.0009740531,0.002790008,0.002741177,0.001961035,0.1721935],"category_scores_gemma":[0.006178222,0.0008792949,0.001189978,0.00971026,0.000405151,0.002341148,0.002434323,0.001990635,0.249019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001528222,"about_ca_system_score_gemma":0.002194699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01788134,"about_ca_topic_score_gemma":0.02964839,"domain_scores_codex":[0.9989513,0.000154462,0.0001376121,0.0003772372,0.0002134633,0.0001658099],"domain_scores_gemma":[0.997636,0.0006915784,0.000218558,0.0006056916,0.0005947233,0.0002533995],"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":[0.00002553082,0.000009962645,0.0003649651,0.0005352514,0.00001369798,0.00001289081,0.00002047734,0.000114678,0.0000896975,0.0003556672,0.9969619,0.001495281],"study_design_scores_gemma":[0.00006055007,0.00000797666,0.001673878,0.0002028283,0.00001378134,0.00003235888,0.00006965596,0.0001417368,0.0001523039,0.0007549577,0.9968741,0.00001581009],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003661484,0.00002844049,0.00004218033,0.00003832901,0.00001240212,0.000005254213,0.9989064,0.0003007605,0.0006296145],"genre_scores_gemma":[0.000149425,0.00003806838,0.0001891885,0.00004859023,0.000004035691,0.00004619088,0.9988438,0.0001271997,0.0005534273],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8278065,"threshold_uncertainty_score":0.5760445,"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."}}