{"id":"W6924928832","doi":"10.15468/dl.wyfbaw","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Advanced Materials and Semiconductor Technologies","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set; Set (abstract data type)","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":["insufficient_payload"],"category_scores_codex":[0.0002868873,0.0003180091,0.0003723929,0.00009431394,0.0002892842,0.000226603,0.000855123,0.0004617534,0.001334831],"category_scores_gemma":[0.0003505521,0.0002995092,0.0001044962,0.0002893078,0.0003031215,0.001114476,0.0006955573,0.0001987214,0.6700057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002581892,"about_ca_system_score_gemma":0.0000929464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005715854,"about_ca_topic_score_gemma":0.0000163141,"domain_scores_codex":[0.9983481,0.0000445509,0.0004561042,0.0003118024,0.0004338269,0.0004056692],"domain_scores_gemma":[0.9986637,0.00002664591,0.0003760492,0.0006486704,0.0001886672,0.00009631916],"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":[0.00002895456,0.00001419759,0.00002554576,0.0001580937,0.000006454575,0.000003733583,0.00001292215,0.0000120882,0.0001506061,1.890956e-7,0.9993721,0.0002150772],"study_design_scores_gemma":[0.0001883722,0.0000325722,0.00001078772,0.000004235241,0.00002458848,0.000003720999,0.0001764316,2.721615e-8,0.001178622,0.00001089816,0.9980393,0.0003304253],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01086174,0.00001653903,0.000003263577,0.0000910015,0.002026281,0.0002727709,0.9859671,0.0007478747,0.00001340012],"genre_scores_gemma":[0.0000138842,0.0001398093,0.000005593377,0.0001620742,0.000002142343,0.000008764731,0.9996675,2.582633e-8,1.847363e-7],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6686708,"threshold_uncertainty_score":0.9999457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02374356418716958,"score_gpt":0.2411416169955182,"score_spread":0.2173980528083486,"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."}}