{"id":"W6905938399","doi":"10.15468/dl.qpesp3","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); Alien; 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":[0.001034743,0.002007541,0.001649723,0.004930689,0.001060357,0.002656309,0.002794862,0.002173522,0.1673774],"category_scores_gemma":[0.006220222,0.0009426052,0.001260467,0.009624567,0.0004660329,0.002370531,0.00268978,0.002065188,0.2363735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001600137,"about_ca_system_score_gemma":0.002425675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02223584,"about_ca_topic_score_gemma":0.03495916,"domain_scores_codex":[0.9989612,0.0001447917,0.0001293489,0.0003648497,0.0002257473,0.0001740407],"domain_scores_gemma":[0.997417,0.0007758069,0.0002204979,0.0006775228,0.000618634,0.0002905907],"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":[0.00002843833,0.00001179146,0.0003526619,0.0005441714,0.00001387758,0.00001502596,0.00002390976,0.0001177786,0.0001156649,0.0003492925,0.9970613,0.001366108],"study_design_scores_gemma":[0.00007459292,0.000009275138,0.001924217,0.0002134576,0.00001488855,0.0000383325,0.00008204041,0.0001516178,0.0001885968,0.0007295496,0.9965554,0.00001792962],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004415164,0.00002833433,0.00004548363,0.00003937857,0.00001363225,0.00000588802,0.9987661,0.0004097768,0.0006473102],"genre_scores_gemma":[0.0001566709,0.00003447388,0.0001930545,0.00004795737,0.000003625414,0.00004478546,0.9988888,0.0001534914,0.0004771861],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8326225,"threshold_uncertainty_score":0.5599333,"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."}}