{"id":"W6962049424","doi":"10.15468/dl.nnq23v","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); Alien; 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":[0.001040437,0.002014934,0.001548841,0.004838771,0.001048357,0.002641228,0.002791512,0.002173478,0.1665611],"category_scores_gemma":[0.006389553,0.000912206,0.001271416,0.009072966,0.0004601872,0.002468113,0.002649721,0.002015612,0.2346994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001556043,"about_ca_system_score_gemma":0.002341614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02181139,"about_ca_topic_score_gemma":0.03464492,"domain_scores_codex":[0.9989282,0.000155157,0.0001312227,0.000380778,0.0002287579,0.0001758741],"domain_scores_gemma":[0.997291,0.0007964167,0.0002288465,0.0007309258,0.0006561255,0.0002966296],"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":[0.00002730539,0.00001183942,0.0003882059,0.0004842212,0.00001312366,0.00001437066,0.0000226323,0.0001182117,0.0001006501,0.0003372826,0.9971337,0.001348405],"study_design_scores_gemma":[0.00007312207,0.000009383478,0.00192411,0.0002006973,0.00001394157,0.00003790181,0.00008379602,0.000171795,0.0001860149,0.0008080243,0.9964729,0.00001832852],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000465407,0.00002819795,0.00004722079,0.00004408385,0.00001444628,0.000006217184,0.9987059,0.0004415126,0.0006658406],"genre_scores_gemma":[0.0001709349,0.00003363637,0.0002039092,0.00005315561,0.00000413501,0.00004556611,0.9988251,0.0001587372,0.0005047405],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8334389,"threshold_uncertainty_score":0.5572023,"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."}}