{"id":"W6961959331","doi":"10.15468/dl.ojvo9t","title":"Occurrence Download","year":2017,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Electromagnetic Simulation and Numerical Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Order (exchange)","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":[0.0001685301,0.0002437757,0.0002571461,0.00005941069,0.0002206787,0.0001558543,0.0004826761,0.0003126322,0.001601475],"category_scores_gemma":[0.00017704,0.0002595143,0.0001108016,0.0001175066,0.0001048079,0.000540524,0.0001044222,0.0002816886,0.1155095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001908451,"about_ca_system_score_gemma":0.00003948868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007347314,"about_ca_topic_score_gemma":0.000003127184,"domain_scores_codex":[0.9990109,0.00003920697,0.0002786195,0.0001283372,0.0002867237,0.0002562467],"domain_scores_gemma":[0.9990423,0.00002632817,0.0001255641,0.0005518419,0.0001065547,0.0001473656],"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":[0.00001040793,0.000007596629,0.0001351231,0.0001167942,0.00002117979,9.083114e-7,0.000009256602,0.0001725464,1.425525e-7,2.422823e-8,0.9917723,0.007753723],"study_design_scores_gemma":[0.000223895,0.00002922449,0.0001497521,0.000002040347,0.00003231053,0.000002369716,0.000007567626,0.00001049721,0.000005022696,0.000001429447,0.9992712,0.0002647006],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002060105,0.00004270939,0.00006366369,0.00003449833,0.000779144,0.0001759486,0.9980274,0.0002141149,0.0004564779],"genre_scores_gemma":[0.0000270146,0.00009142664,0.00001259174,0.000120472,0.000001939017,0.000002612874,0.9997438,1.778747e-8,1.353391e-7],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.113908,"threshold_uncertainty_score":0.9999857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01656999631960206,"score_gpt":0.2532590308973232,"score_spread":0.2366890345777212,"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."}}