{"id":"W6943553303","doi":"10.15468/dl.z5bunj","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); Set (abstract data type); 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":[0.001131763,0.001956146,0.001608832,0.00511501,0.0009983421,0.002631379,0.002775512,0.002078946,0.1517458],"category_scores_gemma":[0.006767665,0.0009390858,0.001181768,0.01016599,0.0004521542,0.002192471,0.002555166,0.002006917,0.2064088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001646612,"about_ca_system_score_gemma":0.002399675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02288249,"about_ca_topic_score_gemma":0.03658203,"domain_scores_codex":[0.9988534,0.0001588585,0.0001552415,0.000394859,0.0002591169,0.0001784276],"domain_scores_gemma":[0.9972633,0.0008146759,0.0002612669,0.0007003943,0.0006595283,0.0003007482],"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":[0.00003034185,0.00001178535,0.0004185469,0.000580943,0.0000168334,0.00001520971,0.00002618077,0.0001389282,0.0001224399,0.0003880584,0.9968448,0.001406084],"study_design_scores_gemma":[0.00007579289,0.000008416566,0.002042579,0.0002096064,0.00001633514,0.0000385014,0.00007927853,0.000162249,0.0001854554,0.0007554789,0.9964072,0.00001910899],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003950462,0.00002441392,0.00004325435,0.0000332602,0.00001115587,0.000004777696,0.9989558,0.0003338119,0.0005538978],"genre_scores_gemma":[0.0001566118,0.00003079397,0.0001960091,0.00003936359,0.000003039302,0.00004026642,0.9990006,0.0001386963,0.0003945806],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8482542,"threshold_uncertainty_score":0.5076402,"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."}}