{"id":"W6924960020","doi":"10.15468/dl.xoqghw","title":"Occurrence Download","year":2017,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Aerodynamics and Fluid Dynamics Research","field":"Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001014279,0.002215487,0.001742785,0.005385179,0.001042555,0.002701587,0.003104057,0.002348024,0.1076329],"category_scores_gemma":[0.005826088,0.0008184934,0.001395425,0.009860712,0.0004934547,0.002360296,0.002828624,0.002112976,0.1795844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001708339,"about_ca_system_score_gemma":0.002558184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02266849,"about_ca_topic_score_gemma":0.03799349,"domain_scores_codex":[0.998784,0.0001628453,0.0001531012,0.0003988542,0.0002945884,0.0002066639],"domain_scores_gemma":[0.9977853,0.0005235577,0.0002084638,0.0005754487,0.0006464294,0.0002606019],"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":[0.00003581355,0.00001346634,0.0004637017,0.0006403924,0.00001966104,0.00001739199,0.00002045132,0.0001589698,0.0001276849,0.0004081857,0.9964724,0.001621857],"study_design_scores_gemma":[0.00008324354,0.00001028118,0.001994757,0.0002338647,0.00001760357,0.00004235775,0.00007073148,0.0001987925,0.0002032906,0.000809299,0.9963177,0.00001789167],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005298678,0.00004691159,0.00004513897,0.00003993268,0.00001457199,0.000006428878,0.9988005,0.0003865611,0.000606917],"genre_scores_gemma":[0.0001584905,0.00004406902,0.0001629727,0.00004572926,0.00000386957,0.00003347782,0.999105,0.00009251196,0.0003537739],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8923671,"threshold_uncertainty_score":0.360068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01368321840562586,"score_gpt":0.2361899444419121,"score_spread":0.2225067260362862,"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."}}