{"id":"W6887362402","doi":"10.15468/dl.z98ut6","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; Set (abstract data type)","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":[0.0009256843,0.001914704,0.001546029,0.005451829,0.0009249811,0.002509304,0.00261688,0.001803572,0.1664604],"category_scores_gemma":[0.005390657,0.0008857176,0.001134086,0.01060793,0.0004229205,0.002160898,0.002651097,0.001828192,0.2304866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001564721,"about_ca_system_score_gemma":0.002477869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02548752,"about_ca_topic_score_gemma":0.04454615,"domain_scores_codex":[0.9989545,0.0001328794,0.0001308484,0.0003518857,0.0002410746,0.0001887485],"domain_scores_gemma":[0.9975051,0.000628214,0.0002397733,0.000663364,0.0006644863,0.0002991158],"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":[0.00002896274,0.00001016085,0.0003820833,0.0005313015,0.00001527155,0.00001427362,0.00002299514,0.0001153422,0.0001289692,0.0003806732,0.9968196,0.001550227],"study_design_scores_gemma":[0.00005764918,0.000007512738,0.001945446,0.0001783173,0.00001356066,0.0000337021,0.0000657972,0.0001166297,0.000197121,0.0007108225,0.9966569,0.00001665874],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003884349,0.000024622,0.00004036816,0.00002827995,0.00000971003,0.000004727866,0.9988417,0.0003618753,0.000649948],"genre_scores_gemma":[0.0001463392,0.00003130488,0.0001751236,0.00003973543,0.000003135787,0.00003440379,0.9989517,0.0001462202,0.0004720491],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8335396,"threshold_uncertainty_score":0.5568656,"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."}}