{"id":"W6962156325","doi":"10.15468/dl.tzsgvs","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":"Geodetic datum; Coordinate system; Matching (statistics); Download; Range (aeronautics); Geographic coordinate conversion","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":[0.0009303337,0.001912367,0.001590463,0.005100365,0.001075368,0.003017842,0.002754357,0.001912977,0.1840632],"category_scores_gemma":[0.006351735,0.0009310055,0.001381095,0.00982043,0.0004147512,0.00263769,0.002833991,0.001950875,0.269886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001431086,"about_ca_system_score_gemma":0.002357763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01962564,"about_ca_topic_score_gemma":0.03199092,"domain_scores_codex":[0.9988575,0.0001413249,0.0001438785,0.0004133028,0.0002479475,0.0001960885],"domain_scores_gemma":[0.9974089,0.0006858323,0.0002124982,0.000731924,0.0006913271,0.0002695167],"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":[0.00003017687,0.00001022716,0.0004604817,0.0005461786,0.00001597318,0.00001715438,0.00002701111,0.0001351846,0.0001288447,0.0003988044,0.9962175,0.002012509],"study_design_scores_gemma":[0.00005059071,0.000007185924,0.001692405,0.0001635122,0.00001306773,0.00003580682,0.00007870048,0.0001704755,0.0001783072,0.0007789698,0.9968143,0.0000168352],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005033432,0.00003287226,0.00006905152,0.00004484172,0.00001820792,0.000006174018,0.9982225,0.0006771756,0.0008787876],"genre_scores_gemma":[0.000190221,0.0000413279,0.0002723834,0.00005278993,0.000004885831,0.00004405278,0.9985311,0.0002380594,0.0006252148],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8159369,"threshold_uncertainty_score":0.6157526,"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."}}