{"id":"W6924910422","doi":"10.15468/dl.ys3jf2","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); Confidentiality","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":[0.001005136,0.0020061,0.001577952,0.004851985,0.001035509,0.0024683,0.00295401,0.002168451,0.153965],"category_scores_gemma":[0.005563115,0.0008973724,0.001190064,0.008974768,0.0004798472,0.002442376,0.002593335,0.002122986,0.2138339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001546857,"about_ca_system_score_gemma":0.00220348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02015604,"about_ca_topic_score_gemma":0.03550321,"domain_scores_codex":[0.9989895,0.0001456324,0.0001248588,0.000357739,0.0002150329,0.0001672715],"domain_scores_gemma":[0.9976408,0.0006641921,0.0002214739,0.0006435824,0.0005525378,0.000277427],"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":[0.00002855077,0.00001244286,0.0003585708,0.0005112339,0.00001437765,0.00001478548,0.00002442867,0.0001307189,0.0001153268,0.0003746116,0.9970115,0.001403298],"study_design_scores_gemma":[0.00007230553,0.00000826158,0.001731426,0.0001787092,0.00001358531,0.000038378,0.00007682063,0.0001579001,0.0001804389,0.0008010449,0.9967228,0.00001835681],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004867759,0.00002891664,0.0000528613,0.00003922811,0.00001459638,0.000005779937,0.9987128,0.0004117622,0.0006854468],"genre_scores_gemma":[0.0001653377,0.00003127751,0.0002195153,0.00004532378,0.000003670472,0.00004357192,0.9988781,0.0001500474,0.0004633233],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8460349,"threshold_uncertainty_score":0.5150644,"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."}}