{"id":"W6943561138","doi":"10.15468/dl.v938dc","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); Data set; Set (abstract data type)","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":[0.0009344807,0.001885687,0.001535388,0.005189312,0.0009442191,0.002537736,0.002757609,0.001936069,0.1575744],"category_scores_gemma":[0.005778326,0.0008782453,0.001128602,0.01074909,0.0004256185,0.002198697,0.00245276,0.001867972,0.2114211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001555742,"about_ca_system_score_gemma":0.002405966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02572041,"about_ca_topic_score_gemma":0.03965748,"domain_scores_codex":[0.9989781,0.0001368549,0.0001298477,0.0003530455,0.0002343774,0.0001678767],"domain_scores_gemma":[0.997681,0.0006250995,0.0002192656,0.0006055284,0.0006068367,0.0002622049],"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":[0.00002658716,0.00001005652,0.0003769402,0.0004896616,0.00001556628,0.00001421357,0.00002249328,0.0001353352,0.0001062355,0.0003749106,0.9970335,0.001394643],"study_design_scores_gemma":[0.00006512951,0.000007222768,0.00189699,0.0001772891,0.00001505083,0.00003592834,0.00007248807,0.0001527822,0.0001794599,0.0007043825,0.9966761,0.00001728623],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003972417,0.00002676066,0.00004300565,0.00003272162,0.00001101099,0.000004467785,0.9989011,0.0003369545,0.0006042271],"genre_scores_gemma":[0.0001628996,0.00003350645,0.0001752015,0.00003795019,0.000003190654,0.00003547353,0.9989548,0.0001302983,0.000466773],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8424256,"threshold_uncertainty_score":0.5271388,"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."}}