{"id":"W6924581681","doi":"10.15468/dl.wyw3tt","title":"Occurrence Download","year":2019,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Evolutionary Algorithms and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001848482,0.0002320627,0.0002100466,0.00007948125,0.0002983511,0.0002407657,0.001607808,0.0002526244,0.0003654374],"category_scores_gemma":[0.0000359882,0.0002403886,0.0001330472,0.0004907209,0.00008841578,0.001987946,0.0007806582,0.0002484911,0.346459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002486468,"about_ca_system_score_gemma":0.0002228062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001484013,"about_ca_topic_score_gemma":0.000001995159,"domain_scores_codex":[0.9985846,0.00003941273,0.0003261799,0.000307383,0.0004744522,0.0002679374],"domain_scores_gemma":[0.9982663,0.00002259969,0.0002676459,0.001050998,0.0002596312,0.0001327821],"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":[0.000002895691,0.00003676355,0.0001101075,0.00005014537,0.00001250833,5.523608e-7,0.00001707287,0.0000356671,1.708167e-8,0.000005283098,0.9982731,0.001455901],"study_design_scores_gemma":[0.0001856424,0.00002391119,0.0001088343,0.000001573656,0.00001240459,0.000006528775,0.00001770623,0.00001497851,7.349248e-7,0.000007274126,0.9993629,0.0002574415],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000169851,0.00002187861,0.002567843,0.0004671732,0.0005809073,0.0003327832,0.9957738,0.0001177333,0.000120878],"genre_scores_gemma":[0.000003794264,0.00004936227,0.00006649628,0.0005301088,0.000001588891,0.000006751693,0.9993416,6.488742e-9,2.884792e-7],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3460935,"threshold_uncertainty_score":0.9802761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01668464933568682,"score_gpt":0.2246304017416972,"score_spread":0.2079457524060103,"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."}}