{"id":"W6962194392","doi":"10.15468/dl.tyrzhj","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":[0.001008183,0.001880006,0.001581848,0.00480325,0.0010659,0.002771867,0.002809725,0.002075213,0.1807647],"category_scores_gemma":[0.006444089,0.0009312854,0.001230621,0.00928039,0.0004345652,0.002676472,0.002658332,0.002117198,0.2518588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0016271,"about_ca_system_score_gemma":0.002379254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02089656,"about_ca_topic_score_gemma":0.0350322,"domain_scores_codex":[0.9989207,0.0001553027,0.0001295305,0.0003904057,0.0002309024,0.0001731985],"domain_scores_gemma":[0.9973676,0.0007519128,0.0002214029,0.0006998973,0.0006812662,0.0002779776],"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":[0.00002540388,0.00001034266,0.0003233516,0.0004925613,0.0000121767,0.00001280849,0.00002040492,0.0001016222,0.00009150252,0.0003506125,0.9971885,0.001370706],"study_design_scores_gemma":[0.00006276912,0.000007467055,0.001495976,0.0001894142,0.00001247608,0.00003054657,0.00006721645,0.0001367612,0.0001599117,0.0008307204,0.9969901,0.00001657121],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003526617,0.00002739819,0.00004504843,0.00004225855,0.00001322768,0.000005930187,0.9987268,0.000388008,0.0007160868],"genre_scores_gemma":[0.0001517992,0.0000383006,0.0002161566,0.00005625932,0.000004148138,0.00004937552,0.9987324,0.0001717131,0.0005797933],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8192353,"threshold_uncertainty_score":0.6047182,"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."}}