{"id":"W6924458641","doi":"10.15468/dl.sn6ky7","title":"Occurrence Download","year":2024,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set; Field (mathematics)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004026525,0.0003429873,0.0002532117,0.000107859,0.0001710153,0.0002264022,0.0007346449,0.0007181355,0.000593646],"category_scores_gemma":[0.0003293706,0.0003145984,0.0002367512,0.0002444884,0.0003845817,0.00002896123,0.0009092733,0.0003641581,0.3009574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001143007,"about_ca_system_score_gemma":0.0003841375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009959823,"about_ca_topic_score_gemma":0.00002588547,"domain_scores_codex":[0.9979558,0.00005153363,0.0005000403,0.0003190018,0.0007113307,0.000462305],"domain_scores_gemma":[0.9985347,0.000008154963,0.0001635047,0.0006567381,0.0003185091,0.0003183892],"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":[0.00006447925,0.0000343928,0.0001258046,0.000496952,0.00007399523,0.000002490037,0.00001790848,0.000002181438,0.000004520762,3.710639e-8,0.9958708,0.003306498],"study_design_scores_gemma":[0.0002735475,0.0001774822,0.00002100592,0.000006380189,0.00005195759,0.000009233654,0.0001229433,5.562807e-7,0.0001104938,0.000001654752,0.998884,0.0003407901],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006737172,0.0001542106,0.00001212516,0.0002300622,0.0008978352,0.0003345199,0.9973785,0.00003462952,0.0002843449],"genre_scores_gemma":[0.00004116167,0.0009324186,0.000005053967,0.0006178202,0.00001293391,0.000006197151,0.9983826,4.965293e-8,0.000001760141],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3003637,"threshold_uncertainty_score":0.9999306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01556531569820385,"score_gpt":0.2551266634124261,"score_spread":0.2395613477142223,"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."}}