{"id":"W6962326708","doi":"10.15468/dl.s5gdfj","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); State (computer science)","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":[0.001058842,0.002027566,0.001622504,0.005060334,0.001047527,0.002569328,0.00303748,0.00213693,0.1630686],"category_scores_gemma":[0.005892052,0.0009305776,0.001138005,0.009698501,0.000490314,0.002388283,0.002675754,0.002161437,0.220129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001613034,"about_ca_system_score_gemma":0.002298303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0203053,"about_ca_topic_score_gemma":0.03378607,"domain_scores_codex":[0.9990076,0.0001349352,0.0001204571,0.0003468966,0.000221447,0.0001687532],"domain_scores_gemma":[0.9976132,0.0006732861,0.0002278921,0.0006506321,0.0005467613,0.0002882771],"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":[0.00002816676,0.00001202678,0.0003471713,0.0005440766,0.00001426793,0.00001486672,0.00002547665,0.0001345602,0.0001315952,0.0004114758,0.9968857,0.001450721],"study_design_scores_gemma":[0.00006862242,0.000007507154,0.001586862,0.0001758626,0.00001278601,0.00003600219,0.00007197784,0.0001474901,0.0001892422,0.0007734596,0.996913,0.00001722783],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004518926,0.00002846148,0.00005270131,0.00003705155,0.00001366469,0.000005632732,0.9986791,0.0004319651,0.0007061896],"genre_scores_gemma":[0.0001677513,0.00003273773,0.000221082,0.00004449381,0.000003474405,0.0000447566,0.9988575,0.000170116,0.0004580868],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8369313,"threshold_uncertainty_score":0.5455189,"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."}}