{"id":"W6887183319","doi":"10.15468/dl.rdgar7","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); Order (exchange); 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":[0.001002888,0.002068838,0.001547652,0.005313994,0.0009313094,0.002535872,0.002742079,0.002096491,0.1413355],"category_scores_gemma":[0.005880899,0.000909692,0.001180131,0.01005622,0.0004381375,0.002205717,0.002517971,0.001893778,0.2000714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001586612,"about_ca_system_score_gemma":0.002320775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02180518,"about_ca_topic_score_gemma":0.03662973,"domain_scores_codex":[0.9989108,0.0001518368,0.0001493447,0.0003634108,0.0002439601,0.0001806799],"domain_scores_gemma":[0.9974865,0.0006780539,0.0002468529,0.0006743703,0.0006184388,0.0002957899],"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":[0.00003435664,0.0000125634,0.0003967539,0.0006044373,0.00001696179,0.00001709924,0.00002292654,0.0001426113,0.0001297478,0.0003803111,0.9968093,0.001432861],"study_design_scores_gemma":[0.00008300357,0.000009138655,0.002078302,0.0001978093,0.00001503122,0.00004150952,0.00006688786,0.0001600146,0.0001969032,0.0007662306,0.996366,0.00001909366],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004351222,0.00002681664,0.00003790436,0.00003299267,0.00001030549,0.000005293462,0.9989271,0.000343538,0.0005725516],"genre_scores_gemma":[0.0001561216,0.00003165791,0.0001651634,0.00004075293,0.000003217153,0.00003712866,0.9990686,0.0001169932,0.0003803555],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8586645,"threshold_uncertainty_score":0.4728144,"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."}}