{"id":"W6905734266","doi":"10.15468/dl.k5mdyw","title":"Occurrence Download","year":2023,"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); Information system","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":[0.0009596865,0.001852625,0.001561751,0.004631964,0.0009680949,0.002532574,0.00285576,0.001987675,0.1585224],"category_scores_gemma":[0.005868804,0.0009187156,0.001144304,0.009764737,0.0004256167,0.002305601,0.002495853,0.00199952,0.22431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00159687,"about_ca_system_score_gemma":0.002377582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02375851,"about_ca_topic_score_gemma":0.04117268,"domain_scores_codex":[0.9990019,0.0001304731,0.0001258848,0.0003450979,0.000230068,0.0001666039],"domain_scores_gemma":[0.9975201,0.000671803,0.0002249981,0.0006527976,0.0006434864,0.0002868303],"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":[0.00002556855,0.00001046929,0.0003513217,0.0004575209,0.00001326295,0.00001242017,0.00002158649,0.0001128588,0.0000997878,0.0003739865,0.9972304,0.001290898],"study_design_scores_gemma":[0.00006743499,0.000007416968,0.001856224,0.0001817364,0.00001349153,0.0000322913,0.00007365677,0.0001506955,0.0001882674,0.0008154746,0.9965963,0.00001704845],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003702223,0.00002230033,0.00004102538,0.00003127778,0.00001005771,0.00000442488,0.9989304,0.0003199797,0.000603448],"genre_scores_gemma":[0.0001449813,0.00002960232,0.0001868945,0.00003839131,0.000002909688,0.0000355089,0.9989786,0.000130555,0.0004526197],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8414776,"threshold_uncertainty_score":0.5303104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}