{"id":"W6943571346","doi":"10.15468/dl.ztzajv","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); Real world data","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":[0.001150368,0.00193756,0.001638056,0.005053883,0.001086522,0.002726603,0.002927073,0.002088659,0.1763766],"category_scores_gemma":[0.006778538,0.001005704,0.001181191,0.009929023,0.0004767987,0.002416766,0.002736808,0.002123098,0.2346708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001692185,"about_ca_system_score_gemma":0.002509716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02255188,"about_ca_topic_score_gemma":0.03583048,"domain_scores_codex":[0.9988956,0.0001448682,0.0001418285,0.0003852378,0.0002512088,0.0001811367],"domain_scores_gemma":[0.9973372,0.0007683167,0.0002421409,0.0007016543,0.0006522852,0.0002984765],"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":[0.0000266884,0.00001025616,0.0003455983,0.0005129789,0.00001393496,0.00001473694,0.00002473038,0.0001124253,0.0001220338,0.0003935843,0.9970946,0.001328435],"study_design_scores_gemma":[0.00006586632,0.000007098917,0.001663269,0.0001898218,0.00001378452,0.00003593553,0.00007153978,0.0001317727,0.0001851821,0.0007330061,0.9968851,0.00001757262],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000036373,0.00002411571,0.00004711921,0.00003581995,0.00001185077,0.000005248094,0.9988055,0.0003889114,0.0006449292],"genre_scores_gemma":[0.0001491601,0.00003195928,0.0002120048,0.00004530001,0.00000314905,0.00004534785,0.9988655,0.0001808596,0.0004667529],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8236234,"threshold_uncertainty_score":0.5900387,"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."}}