{"id":"W6962241976","doi":"10.15468/dl.zqbrbc","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); Column (typography)","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":[0.001048737,0.001916374,0.001557969,0.004887059,0.00102648,0.002606514,0.002796161,0.002121031,0.1608857],"category_scores_gemma":[0.006382258,0.0008936946,0.001133134,0.00952589,0.0004447228,0.002546099,0.002597883,0.002051116,0.2211182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001663328,"about_ca_system_score_gemma":0.002373339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02103767,"about_ca_topic_score_gemma":0.03695714,"domain_scores_codex":[0.9988914,0.0001643188,0.0001373955,0.0003910081,0.0002394694,0.0001763845],"domain_scores_gemma":[0.9973356,0.0007639449,0.0002429652,0.0007074279,0.000656053,0.000293892],"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":[0.00002681123,0.00001129702,0.0003331425,0.0005062711,0.00001314493,0.0000133543,0.00002260207,0.0001214596,0.00009882579,0.0003900903,0.9971819,0.001281316],"study_design_scores_gemma":[0.00006764838,0.000007884664,0.00158748,0.000186105,0.00001239855,0.00003240034,0.00006957572,0.0001509096,0.0001590036,0.0008227309,0.9968869,0.00001697304],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003962073,0.00002680842,0.00004546635,0.00003972702,0.00001187977,0.000005501421,0.9987791,0.0003680148,0.000683842],"genre_scores_gemma":[0.0001553286,0.00003335619,0.0002071211,0.00004789642,0.000003482395,0.00004347735,0.9988645,0.0001521367,0.0004927188],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8391143,"threshold_uncertainty_score":0.5382163,"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."}}