{"id":"W6887138716","doi":"10.15468/dl.khvgcz","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":[0.001027614,0.002013751,0.001579408,0.004891033,0.001044212,0.002523292,0.002996286,0.002190752,0.1492916],"category_scores_gemma":[0.005799732,0.0009021551,0.001205319,0.009210932,0.0004793434,0.00243698,0.002606291,0.002158069,0.2090842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001573439,"about_ca_system_score_gemma":0.00226319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02047566,"about_ca_topic_score_gemma":0.03550234,"domain_scores_codex":[0.9989406,0.0001518665,0.000131863,0.0003727103,0.0002282754,0.0001746447],"domain_scores_gemma":[0.9975019,0.0007010845,0.0002341788,0.0006856651,0.0005870487,0.0002901599],"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":[0.00002859197,0.000012603,0.0003685549,0.0004889538,0.00001414607,0.00001441443,0.00002344969,0.0001336442,0.0001102979,0.0003653309,0.9970677,0.001372173],"study_design_scores_gemma":[0.00007500339,0.000008764969,0.001788323,0.0001847047,0.0000139066,0.00003904432,0.00007847996,0.000172225,0.0001870612,0.0008173068,0.9966165,0.00001863018],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004810454,0.00002840797,0.0000509009,0.00003982393,0.00001451818,0.000005800171,0.9987466,0.0004076247,0.0006580643],"genre_scores_gemma":[0.0001630437,0.00003068681,0.0002121066,0.00004499799,0.000003633916,0.00004252352,0.9989157,0.0001416752,0.0004457815],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8507084,"threshold_uncertainty_score":0.4994303,"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."}}