{"id":"W6962015984","doi":"10.15468/dl.n6gsnz","title":"Occurrence Download","year":2023,"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":[0.001080482,0.001963868,0.001616758,0.006024507,0.001041286,0.002609852,0.002848528,0.002023716,0.1735428],"category_scores_gemma":[0.006233179,0.0009427129,0.001213688,0.0113474,0.0004759108,0.00239794,0.002940898,0.002054468,0.2426655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001608497,"about_ca_system_score_gemma":0.002654853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02227742,"about_ca_topic_score_gemma":0.03781842,"domain_scores_codex":[0.9987856,0.0001535123,0.0001643086,0.0003997397,0.0002901489,0.0002067551],"domain_scores_gemma":[0.997027,0.0007477123,0.0002960594,0.000800755,0.0007735454,0.0003549502],"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":[0.00003017866,0.00001120432,0.000354377,0.0005635732,0.00001401888,0.00001456692,0.00002538384,0.00009622356,0.0001311545,0.0003879889,0.9968658,0.001505394],"study_design_scores_gemma":[0.00006014041,0.000007178679,0.001725819,0.0001835004,0.00001249086,0.00003303601,0.00006716624,0.0000931496,0.000184233,0.0006574808,0.9969592,0.00001670668],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003574002,0.00002318764,0.00003884036,0.00003091631,0.00001070757,0.000005294698,0.9988669,0.00033749,0.0006510271],"genre_scores_gemma":[0.0001409987,0.00003325881,0.0002013744,0.00004490314,0.000003339208,0.00003896994,0.9988759,0.0001527514,0.0005085701],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8264571,"threshold_uncertainty_score":0.5805587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}