{"id":"W6943643754","doi":"10.15468/dl.t4ynxh","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); State (computer science); Confidentiality","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":[0.000991717,0.001911086,0.001561944,0.005125528,0.0009674573,0.002480333,0.002744428,0.002063761,0.1523484],"category_scores_gemma":[0.005835823,0.0008689405,0.001127061,0.009942383,0.0004536822,0.002296248,0.002495781,0.002000483,0.208111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001549658,"about_ca_system_score_gemma":0.002186161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01993221,"about_ca_topic_score_gemma":0.03353183,"domain_scores_codex":[0.9989908,0.0001420807,0.0001304831,0.0003489634,0.0002196452,0.0001680315],"domain_scores_gemma":[0.9975777,0.0007034247,0.0002385133,0.0006321031,0.0005730332,0.000275093],"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":[0.00002863076,0.00001206882,0.0004061477,0.0005610035,0.00001574628,0.00001494787,0.00002443015,0.000145316,0.0001177996,0.000386971,0.9967793,0.00150761],"study_design_scores_gemma":[0.00007206343,0.000008466948,0.00195138,0.0002012427,0.00001490731,0.00003884984,0.00007794397,0.0001677192,0.0001844984,0.0007703491,0.9964948,0.00001779977],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004515541,0.00002856511,0.00004577915,0.00003494712,0.00001220382,0.000004981219,0.998886,0.0003410649,0.0006013855],"genre_scores_gemma":[0.0001683531,0.00003347717,0.0001974354,0.00004218058,0.000003509393,0.00003993387,0.9989389,0.0001303299,0.0004458881],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8476516,"threshold_uncertainty_score":0.5096562,"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."}}