{"id":"W6961672876","doi":"10.15468/dl.vz23t5","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Engineering Education and Global Impact","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Alien; State (computer science)","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005438662,0.0001797218,0.0001767724,0.00008775932,0.0009029199,0.0002045339,0.0006151237,0.0002197628,0.103784],"category_scores_gemma":[0.0004997989,0.0002101178,0.0001257052,0.0005260682,0.0001916015,0.0008217175,0.0001840357,0.0003070268,0.05825339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001101153,"about_ca_system_score_gemma":0.0005944883,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007143328,"about_ca_topic_score_gemma":0.0001429798,"domain_scores_codex":[0.9984045,0.0001408707,0.0002481389,0.0001556989,0.0007151114,0.0003356776],"domain_scores_gemma":[0.9990357,0.00002862624,0.0001888566,0.0003209429,0.0001674665,0.0002584326],"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":[0.000009799292,0.0000339109,0.0002868144,0.00003577774,0.00001514696,7.536802e-7,0.0005143954,0.00002509822,2.793087e-9,0.000001625862,0.9984243,0.0006523811],"study_design_scores_gemma":[0.0001139637,0.00001599731,0.00006355701,7.754642e-7,0.00002281869,8.953222e-7,0.001635267,1.760128e-8,8.125107e-8,0.000001036624,0.9979312,0.0002144131],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001178002,0.00002462755,0.000001366839,0.0006554499,0.001814434,0.0002592505,0.9955249,0.0001416107,0.001460514],"genre_scores_gemma":[0.00001471532,0.0001534562,6.986501e-7,0.0007082173,0.000003098582,0.000005402705,0.9991134,9.660297e-9,0.000001033009],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04553062,"threshold_uncertainty_score":0.9994682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02044912245186578,"score_gpt":0.273936464046113,"score_spread":0.2534873415942472,"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."}}