{"id":"W6906274478","doi":"10.15468/dl.zvt3ck","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","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":[0.0009992627,0.00202678,0.001660788,0.005026773,0.0009751469,0.002597293,0.002801774,0.002069926,0.1547134],"category_scores_gemma":[0.005842029,0.0009181848,0.001143415,0.009685082,0.0004467082,0.0022672,0.002499362,0.001991302,0.2129587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001494611,"about_ca_system_score_gemma":0.002255112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01951468,"about_ca_topic_score_gemma":0.03281734,"domain_scores_codex":[0.9989631,0.0001436067,0.0001307711,0.0003681762,0.0002218402,0.0001724334],"domain_scores_gemma":[0.9975389,0.0007172223,0.0002411282,0.0006436987,0.0005638532,0.0002951303],"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":[0.00003159527,0.00001223541,0.0004272097,0.0006035445,0.00001671826,0.00001652399,0.00002479759,0.0001376011,0.0001304007,0.0003773949,0.9968579,0.001364085],"study_design_scores_gemma":[0.00008275423,0.000008836163,0.002122887,0.000202764,0.00001599913,0.00004095256,0.00007483904,0.0001554637,0.0001949118,0.0008145516,0.9962667,0.000019311],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004110018,0.00002540679,0.00003992241,0.00003012045,0.00001043738,0.000004633031,0.9989733,0.0003261411,0.0005489997],"genre_scores_gemma":[0.0001600893,0.0000304953,0.0001811099,0.00004055322,0.000003254411,0.00003870409,0.9990037,0.000131604,0.000410427],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8452866,"threshold_uncertainty_score":0.5175678,"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."}}