{"id":"W6962397947","doi":"10.15468/dl.wvd33b","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); Species name","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":[0.001035323,0.001982211,0.001545482,0.005186627,0.001022421,0.002441151,0.002897092,0.002129162,0.1428757],"category_scores_gemma":[0.005829724,0.0008855767,0.00117656,0.009717493,0.0004741801,0.002266878,0.002481337,0.002050767,0.2005525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001549594,"about_ca_system_score_gemma":0.002221142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02069398,"about_ca_topic_score_gemma":0.03536829,"domain_scores_codex":[0.9989624,0.0001470615,0.0001316276,0.000355975,0.0002312955,0.0001717414],"domain_scores_gemma":[0.9975095,0.0007017234,0.0002358715,0.0006805288,0.0005839146,0.0002884171],"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":[0.00002920816,0.00001301547,0.0004030887,0.0005280537,0.00001498443,0.00001588241,0.00002512063,0.0001418028,0.0001241124,0.0003714389,0.9968393,0.001494118],"study_design_scores_gemma":[0.00007589342,0.00000924363,0.002038678,0.0001907233,0.00001454883,0.00004254751,0.00007991502,0.0001766206,0.0001952715,0.0007631569,0.9963948,0.00001860711],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005383284,0.00003117749,0.00005057403,0.00003832835,0.00001402294,0.000005906528,0.9987308,0.0004117453,0.0006635188],"genre_scores_gemma":[0.0001673335,0.00003120109,0.0002024741,0.0000404805,0.000003428287,0.00004105457,0.9989568,0.0001325717,0.0004246438],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8571243,"threshold_uncertainty_score":0.477967,"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."}}