{"id":"W6924383676","doi":"10.15468/dl.nunzt6","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","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":[0.0009900989,0.001955305,0.00159242,0.004892142,0.001012473,0.002636655,0.002797364,0.002006193,0.1692295],"category_scores_gemma":[0.006074228,0.0009442007,0.001134396,0.01009853,0.0004482244,0.002565475,0.002674602,0.002084694,0.2398436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00157214,"about_ca_system_score_gemma":0.002360749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02099336,"about_ca_topic_score_gemma":0.03804567,"domain_scores_codex":[0.9989248,0.0001507657,0.0001310217,0.0003828711,0.0002391398,0.0001713903],"domain_scores_gemma":[0.9973385,0.0007249597,0.0002412796,0.0007381648,0.0006527808,0.0003043034],"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":[0.00002567435,0.00001012991,0.0003198372,0.000462588,0.00001246456,0.00001281201,0.00002231962,0.0001082397,0.00009629731,0.000385454,0.9972901,0.001254002],"study_design_scores_gemma":[0.00006136772,0.000006462129,0.001446427,0.0001595003,0.00001100027,0.00002874124,0.00006334085,0.0001197599,0.0001540634,0.0008031982,0.9971306,0.00001563162],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003633341,0.0000230312,0.00004417153,0.00003448919,0.00001096283,0.0000050095,0.9987597,0.0003748747,0.0007114017],"genre_scores_gemma":[0.0001502701,0.00003142839,0.000206664,0.000045617,0.000003436104,0.00004058162,0.9988093,0.0001747718,0.0005378171],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8307705,"threshold_uncertainty_score":0.566129,"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."}}