{"id":"W6962289861","doi":"10.15468/dl.xx64qu","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); Range (aeronautics); Data set; Set (abstract data type)","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":[0.0009383694,0.001934839,0.001530384,0.004619494,0.0009375691,0.002354411,0.002757554,0.001916307,0.1484688],"category_scores_gemma":[0.005374923,0.0009284862,0.001147322,0.009522548,0.0004461037,0.002160273,0.00248061,0.001975126,0.1991828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00163417,"about_ca_system_score_gemma":0.002276705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02424411,"about_ca_topic_score_gemma":0.03760595,"domain_scores_codex":[0.9990962,0.0001181208,0.0001179195,0.0003078283,0.000203671,0.0001563014],"domain_scores_gemma":[0.9978814,0.0005972374,0.0002010139,0.0005608282,0.0005138026,0.0002457384],"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":[0.0000303371,0.00001133443,0.0004173767,0.0005724391,0.00001601613,0.00001701619,0.00002970185,0.0001543021,0.0001483019,0.0004558284,0.9965746,0.001572859],"study_design_scores_gemma":[0.00006587402,0.000006941535,0.001801724,0.0001789633,0.00001354948,0.00003728124,0.00007750185,0.000153003,0.0002025986,0.0007308469,0.9967146,0.00001709013],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004372265,0.00002330025,0.00005148521,0.00003201451,0.00001093045,0.000005127267,0.9987925,0.0004138628,0.0006270047],"genre_scores_gemma":[0.000169752,0.00003105874,0.0002216173,0.00003952275,0.000002776979,0.00003973276,0.9989218,0.0001669588,0.000406867],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8515313,"threshold_uncertainty_score":0.4966775,"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."}}