{"id":"W6924565317","doi":"10.15468/dl.qx4kau","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Irish and British Studies","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":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005618572,0.0001735486,0.0002251231,0.00006240416,0.002162658,0.0001960263,0.0006216756,0.000211001,0.06308628],"category_scores_gemma":[0.0003770567,0.0002078839,0.0001423707,0.0004098103,0.0004415089,0.000865904,0.0004844192,0.0002981239,0.05329385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006454229,"about_ca_system_score_gemma":0.0003491488,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01180717,"about_ca_topic_score_gemma":0.0002560705,"domain_scores_codex":[0.9981483,0.0001716553,0.0002657564,0.0001809886,0.0008615754,0.0003716748],"domain_scores_gemma":[0.9991426,0.00002910551,0.000222762,0.0002373478,0.0002232431,0.0001448978],"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":[0.00001748161,0.00002645427,0.0007263799,0.00004374076,0.00002164884,0.000003335344,0.0004171789,0.000001012692,7.719888e-10,1.219489e-7,0.9972382,0.00150448],"study_design_scores_gemma":[0.0001648389,0.00002040551,0.00006745592,8.603446e-7,0.00003203451,9.730595e-7,0.003757079,2.672939e-9,5.182017e-8,6.976123e-7,0.995733,0.0002226127],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001166544,0.00006183702,3.075631e-7,0.0004834134,0.00109974,0.0002961984,0.9933287,0.00009845396,0.004514708],"genre_scores_gemma":[0.000007584227,0.0005529501,3.388035e-7,0.0006741365,0.000003428734,0.000007076642,0.9987537,6.111749e-9,7.34891e-7],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0115511,"threshold_uncertainty_score":0.9991364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01808981712340176,"score_gpt":0.2508929744498002,"score_spread":0.2328031573263985,"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."}}