{"id":"W6943835301","doi":"10.15468/dl.znt2ze","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":"Matching (statistics); Download; Alien; Range (aeronautics); State (computer science)","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":[0.0008974219,0.001995045,0.001485529,0.004879429,0.0009703093,0.002462762,0.002585872,0.001976192,0.1577962],"category_scores_gemma":[0.00583579,0.0008570334,0.001181693,0.009713116,0.0004326779,0.002101756,0.002406738,0.001783787,0.2211288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001460724,"about_ca_system_score_gemma":0.002208762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02016184,"about_ca_topic_score_gemma":0.03278258,"domain_scores_codex":[0.999002,0.0001387373,0.0001254399,0.0003597302,0.0002075964,0.000166572],"domain_scores_gemma":[0.9976744,0.0006757529,0.000222274,0.0005793613,0.0005972314,0.0002509816],"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":[0.0000320433,0.00001189872,0.0004209357,0.0005362376,0.00001412202,0.00001502993,0.00002158606,0.0001312022,0.0001216451,0.000350212,0.9968567,0.001488385],"study_design_scores_gemma":[0.0000785771,0.00001089818,0.00201954,0.0001956884,0.00001555971,0.00003821206,0.00007006522,0.0001679548,0.0002005442,0.0008123586,0.9963713,0.00001930356],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004892019,0.00002786764,0.00004045899,0.0000342803,0.00001219933,0.000005190117,0.9988348,0.0003609155,0.000635281],"genre_scores_gemma":[0.0001689857,0.00003372681,0.0001907651,0.00004481912,0.000003823387,0.00004378148,0.9988953,0.000139961,0.0004788016],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8422038,"threshold_uncertainty_score":0.5278809,"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."}}