{"id":"W6924954842","doi":"10.15468/dl.tbdfbs","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Mathematics, Computing, and Information Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Natural (archaeology)","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":["insufficient_payload"],"category_scores_codex":[0.0006807261,0.0003419937,0.0003441408,0.0001949959,0.0008677874,0.0007536861,0.002371504,0.0002076904,0.01032364],"category_scores_gemma":[0.0002062419,0.0003641749,0.0001771106,0.000684706,0.00009916416,0.004142663,0.001827078,0.0004460436,0.04485625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004196449,"about_ca_system_score_gemma":0.0003432072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009628494,"about_ca_topic_score_gemma":0.000001491144,"domain_scores_codex":[0.99748,0.00008408156,0.000771474,0.0002940652,0.0009772247,0.0003931721],"domain_scores_gemma":[0.9975917,0.00003855096,0.0008875783,0.0009787928,0.000325474,0.0001779156],"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":[0.000004451393,0.0000347745,0.00003481952,0.0003232053,0.00001711425,0.000001399524,0.000353122,0.00006621477,5.263636e-9,0.00001142678,0.9944587,0.004694751],"study_design_scores_gemma":[0.0002466515,0.00003165295,0.000006448046,0.000003411882,0.00001557505,0.00001687055,0.0001394799,0.00005316593,0.000001501227,0.00001974815,0.9990845,0.0003809569],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002373252,0.00002204855,0.004978113,0.0001720761,0.001107355,0.0002785547,0.9924879,0.0002870378,0.0006431506],"genre_scores_gemma":[0.000004721581,0.00003135412,0.00007958272,0.001238513,0.000001621544,0.000006110307,0.9986378,1.771131e-8,2.998144e-7],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03453261,"threshold_uncertainty_score":0.999881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0169086788684483,"score_gpt":0.2209328989132924,"score_spread":0.2040242200448441,"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."}}