{"id":"W6924295782","doi":"10.15468/dl.7czz3s","title":"Occurrence Download","year":2024,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Species name","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":[0.001032972,0.001996354,0.001701182,0.005503524,0.001022176,0.002589598,0.002848827,0.002116458,0.1631873],"category_scores_gemma":[0.005959004,0.0009205092,0.001139984,0.01044806,0.0004593528,0.002287319,0.00259584,0.001997413,0.2150511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001607826,"about_ca_system_score_gemma":0.002525475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02083652,"about_ca_topic_score_gemma":0.03583552,"domain_scores_codex":[0.9989555,0.0001425223,0.0001338931,0.000353372,0.0002394944,0.000175277],"domain_scores_gemma":[0.9976132,0.0007008532,0.0002277925,0.0005906649,0.0005816963,0.0002858549],"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":[0.0000318215,0.0000124379,0.0003907005,0.000646954,0.00001665569,0.00001686279,0.00002624499,0.0001279462,0.0001417845,0.0004319625,0.9966518,0.001504915],"study_design_scores_gemma":[0.00007208628,0.000007985112,0.001812816,0.0002077587,0.00001560381,0.00003791416,0.00006940527,0.0001287505,0.0001978251,0.0007786506,0.996653,0.00001819351],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004161511,0.00003052322,0.00004198568,0.00003228472,0.0000107547,0.000005012284,0.9988995,0.0003269669,0.0006113377],"genre_scores_gemma":[0.0001561561,0.00003572004,0.0001859447,0.00004109662,0.000003172124,0.00004039698,0.9989543,0.0001322239,0.0004509979],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8368127,"threshold_uncertainty_score":0.5459159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}