{"id":"W6925020217","doi":"10.15468/dl.vr7dh5","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Alien; Range (aeronautics)","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":[0.0001892304,0.0002475852,0.0002293585,0.00008679301,0.0001286878,0.0001089483,0.0003359874,0.0003634024,0.0002646026],"category_scores_gemma":[0.0001315697,0.0002674547,0.0001141716,0.0004111031,0.00009210535,0.0008066284,0.0001251354,0.0002571511,0.4121153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003671126,"about_ca_system_score_gemma":0.00004696972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002693209,"about_ca_topic_score_gemma":0.00002372098,"domain_scores_codex":[0.9989026,0.00002173677,0.0003416126,0.0001510835,0.0003020655,0.0002809553],"domain_scores_gemma":[0.9992183,0.00001676449,0.00008495961,0.0004093169,0.0001624236,0.0001082412],"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":[0.000009504658,0.000007581971,0.00004596646,0.0003356768,0.00002327204,0.000001024821,0.00001987674,0.01134744,2.191678e-8,5.715575e-8,0.9873412,0.0008683258],"study_design_scores_gemma":[0.0001691775,0.00001268751,0.00003332329,0.000004402022,0.00002772327,0.000001390064,0.00005863622,0.00003177121,0.000001514632,0.000001608001,0.9993949,0.0002628722],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008956943,0.00001252406,0.00007539651,0.00004866883,0.001291204,0.0002766124,0.9974765,0.0006022212,0.0001272916],"genre_scores_gemma":[0.000003761931,0.0004319727,0.00000291313,0.00008549228,0.000001576394,0.000006485743,0.9994676,2.834198e-8,1.419069e-7],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4118507,"threshold_uncertainty_score":0.9999778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009544422784039977,"score_gpt":0.1911886466262651,"score_spread":0.1816442238422252,"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."}}