{"id":"W6924633022","doi":"10.15468/dl.jjnapq","title":"Occurrence Download","year":2024,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Advanced Thermodynamic Systems and Engines","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set; 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":[],"category_scores_codex":[0.00008215549,0.0002761997,0.0002337691,0.00007832191,0.00006830118,0.00009810091,0.00027422,0.0002743239,0.0004445299],"category_scores_gemma":[0.00001706824,0.0002751463,0.0001128717,0.0002348155,0.00004920207,0.0005379012,0.0001008209,0.0002542729,0.4367942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003200942,"about_ca_system_score_gemma":0.00002619598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006518167,"about_ca_topic_score_gemma":0.000008636869,"domain_scores_codex":[0.9991019,0.000009882715,0.0002913444,0.0001320232,0.0002321008,0.0002327014],"domain_scores_gemma":[0.9994596,0.000007815781,0.00004721733,0.0003287296,0.00006203881,0.00009457963],"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":[0.000003752079,0.000003320735,0.00001368066,0.0007360838,0.00004484658,0.000002723332,0.0000231876,0.002296693,8.890325e-8,1.086617e-7,0.9954805,0.001395043],"study_design_scores_gemma":[0.00008986646,0.000007066472,0.000004658294,0.000009336852,0.00003526246,0.000007081851,0.00006013393,0.00002927205,8.982892e-7,0.000002291429,0.9994799,0.0002742389],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000147439,0.0001815933,0.00005434033,0.00001336433,0.002154439,0.0001716359,0.9964952,0.0005030837,0.0002788644],"genre_scores_gemma":[0.00004539073,0.000148013,0.000001228845,0.00003398906,0.000003369375,0.000004730599,0.9997631,3.234673e-8,1.078447e-7],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4363496,"threshold_uncertainty_score":0.9999701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007207883104751636,"score_gpt":0.1914784921931825,"score_spread":0.1842706090884308,"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."}}