{"id":"W6887152862","doi":"10.15468/dl.nkp3f2","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":[0.001024493,0.002119297,0.001679096,0.004885945,0.001064458,0.002666327,0.002966086,0.002206292,0.1595867],"category_scores_gemma":[0.005909763,0.0009581278,0.001208951,0.00952909,0.0004753603,0.002502426,0.002653864,0.002154848,0.2324143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001565708,"about_ca_system_score_gemma":0.002328676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01956474,"about_ca_topic_score_gemma":0.03441906,"domain_scores_codex":[0.9989139,0.0001535237,0.0001299106,0.0003914092,0.0002371484,0.0001740454],"domain_scores_gemma":[0.9974292,0.0007234919,0.0002313088,0.0007092145,0.0006088817,0.0002978921],"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":[0.00002833515,0.00001164569,0.0003283459,0.0004903176,0.0000134766,0.00001404635,0.00002198279,0.0001155566,0.000109823,0.0003582809,0.9973004,0.001207754],"study_design_scores_gemma":[0.00007703173,0.000008053134,0.001702948,0.0001690508,0.00001324,0.00003563091,0.00006989232,0.0001425873,0.0001844989,0.0008298756,0.9967488,0.00001848597],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000395827,0.00002465815,0.00004534542,0.00003485079,0.00001173453,0.000005221234,0.9988269,0.0003811945,0.000630479],"genre_scores_gemma":[0.0001548267,0.00002943739,0.0001995146,0.00004420032,0.000003485571,0.00004189738,0.9989008,0.0001552743,0.0004706976],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8404133,"threshold_uncertainty_score":0.5338708,"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."}}