{"id":"W6943400580","doi":"10.15468/dl.qfvwa6","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); 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":[0.001144191,0.002013191,0.001652354,0.005269783,0.001028383,0.002739222,0.002920059,0.002029456,0.1720956],"category_scores_gemma":[0.006758293,0.001012103,0.001154826,0.01045294,0.0004772416,0.002406213,0.002661524,0.002076945,0.2283848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001684675,"about_ca_system_score_gemma":0.002497941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02284312,"about_ca_topic_score_gemma":0.03562561,"domain_scores_codex":[0.9988618,0.0001534265,0.0001519455,0.000397535,0.0002545899,0.0001807129],"domain_scores_gemma":[0.9971318,0.0008404959,0.0002684638,0.000748387,0.0006951458,0.0003156436],"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":[0.00002740142,0.00001029489,0.0003440446,0.0005406733,0.00001512319,0.00001474684,0.00002514567,0.0001112239,0.0001139908,0.0003964496,0.9971463,0.001254521],"study_design_scores_gemma":[0.00007176379,0.000007006799,0.00173887,0.0001870421,0.00001447562,0.0000362848,0.00007407819,0.0001287957,0.0001808954,0.0007479507,0.9967951,0.0000177274],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003336988,0.00002236708,0.00004452932,0.00003229047,0.00001047047,0.000004782197,0.9989152,0.000343767,0.0005932754],"genre_scores_gemma":[0.000149267,0.00003143087,0.0001949232,0.00004196828,0.000003171954,0.00004201357,0.9989303,0.0001688234,0.0004381233],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8279044,"threshold_uncertainty_score":0.5757172,"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."}}