{"id":"W6943739008","doi":"10.15468/dl.uyj9pp","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":[0.001048854,0.002038922,0.001572246,0.005069338,0.001057498,0.002506246,0.002847102,0.002193717,0.1547563],"category_scores_gemma":[0.006161608,0.0009202347,0.001199768,0.00961727,0.0004728339,0.002339638,0.002618377,0.002092123,0.2027033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001663957,"about_ca_system_score_gemma":0.00242795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02216097,"about_ca_topic_score_gemma":0.03624388,"domain_scores_codex":[0.9989288,0.0001468897,0.0001352623,0.0003750025,0.0002329557,0.0001810895],"domain_scores_gemma":[0.997418,0.0007605915,0.0002384876,0.0006627917,0.000624798,0.0002952676],"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":[0.0000301192,0.00001253127,0.0003706531,0.0005756404,0.0000151941,0.00001606607,0.00002460221,0.0001309288,0.0001285954,0.0003786421,0.996979,0.001338059],"study_design_scores_gemma":[0.00008082671,0.000009388638,0.001909881,0.0002090731,0.00001528065,0.00004096083,0.00008090276,0.0001600273,0.000199015,0.0007682771,0.9965076,0.0000188957],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004534737,0.00002863355,0.00004547128,0.00003909904,0.00001351691,0.000005883715,0.9988482,0.0003698158,0.0006039735],"genre_scores_gemma":[0.0001598445,0.00003387681,0.0002086709,0.00004717166,0.000003481653,0.00004534417,0.9989061,0.0001470838,0.0004483667],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8452437,"threshold_uncertainty_score":0.5177115,"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."}}