{"id":"W6962098406","doi":"10.15468/dl.yjjdhn","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); Order (exchange)","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":[0.00106137,0.001932208,0.001594292,0.004971148,0.00101448,0.002536053,0.002852398,0.001985242,0.164937],"category_scores_gemma":[0.005899738,0.0009306073,0.001112606,0.009809747,0.0004528739,0.002230711,0.002584946,0.002011664,0.2168995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001647068,"about_ca_system_score_gemma":0.002366599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02441635,"about_ca_topic_score_gemma":0.04059787,"domain_scores_codex":[0.9989696,0.0001358247,0.0001300188,0.0003517772,0.0002413867,0.0001714465],"domain_scores_gemma":[0.9975826,0.0006734243,0.0002322691,0.0006291604,0.0005987727,0.0002837821],"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":[0.00002712111,0.00001078539,0.0003685115,0.000518877,0.00001443911,0.00001502329,0.00002549711,0.0001212942,0.0001221402,0.0004006632,0.9970087,0.001366884],"study_design_scores_gemma":[0.0000677345,0.000007134154,0.001892598,0.0001817538,0.00001381083,0.00003633354,0.00007315734,0.0001369745,0.000186726,0.0007093862,0.9966769,0.00001746651],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003935543,0.00002371609,0.00004630746,0.00003180741,0.00001076036,0.000004814628,0.998821,0.0003687299,0.0006535086],"genre_scores_gemma":[0.0001571932,0.00003053054,0.0002037627,0.000039408,0.000003068459,0.00004165805,0.9989028,0.0001651478,0.0004564784],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.835063,"threshold_uncertainty_score":0.5517693,"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."}}