{"id":"W6962368595","doi":"10.15468/dl.t4tdwp","title":"Occurrence Download","year":2023,"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); Alien; Range (aeronautics)","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":[0.0009846457,0.001860836,0.001620402,0.004958877,0.00105217,0.002611633,0.002740766,0.002161436,0.1524811],"category_scores_gemma":[0.006099267,0.0008868246,0.001264284,0.009912564,0.0004729277,0.002300169,0.002518043,0.001980253,0.2202653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001611327,"about_ca_system_score_gemma":0.002367605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02297364,"about_ca_topic_score_gemma":0.03636377,"domain_scores_codex":[0.9989499,0.0001445027,0.0001300537,0.0003698717,0.0002319938,0.0001736884],"domain_scores_gemma":[0.9974223,0.0007801913,0.0002295899,0.0006761571,0.0006115204,0.0002801584],"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":[0.00002975656,0.00001175885,0.0003923162,0.0005780057,0.00001469295,0.00001619364,0.00002471127,0.0001172717,0.0001289039,0.0003623803,0.9968926,0.001431354],"study_design_scores_gemma":[0.00007061342,0.000009433888,0.002182079,0.0002169257,0.00001567475,0.0000406626,0.00008703767,0.0001502788,0.0002008135,0.000716575,0.9962916,0.00001826412],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004814698,0.00003170371,0.00004332628,0.00003989794,0.00001330186,0.000005704592,0.9987751,0.0003896861,0.0006531182],"genre_scores_gemma":[0.0001752415,0.00003744125,0.0001877564,0.00004812414,0.00000374125,0.00004357488,0.9988897,0.0001423722,0.0004719804],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8475189,"threshold_uncertainty_score":0.5101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}