{"id":"W6906120357","doi":"10.15468/dl.w2phg8","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); 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":[0.0009481275,0.001997001,0.001650252,0.00547596,0.001232026,0.002806904,0.003212046,0.002420603,0.1578218],"category_scores_gemma":[0.006462378,0.001028368,0.001403019,0.01065904,0.0004744193,0.00273597,0.002726077,0.00223321,0.2212583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001832461,"about_ca_system_score_gemma":0.002798524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02271957,"about_ca_topic_score_gemma":0.03838104,"domain_scores_codex":[0.9987998,0.0001567747,0.0001554846,0.0004303257,0.0002573128,0.0002002877],"domain_scores_gemma":[0.9975263,0.0006779026,0.0002113729,0.000636178,0.0006808615,0.0002672022],"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":[0.00003314194,0.00001239682,0.0004245198,0.0006887295,0.00001751096,0.00001805865,0.00002504686,0.0001230012,0.0001556721,0.0004355099,0.9963453,0.001721113],"study_design_scores_gemma":[0.00006568251,0.00000809992,0.001632547,0.0002078308,0.00001492277,0.00004128744,0.00007170313,0.0001302952,0.0001866337,0.0006946734,0.9969295,0.00001684839],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005002905,0.00004185716,0.0000534014,0.00004711053,0.00001538738,0.000006266828,0.9985474,0.0004208252,0.000817757],"genre_scores_gemma":[0.0001692412,0.00004594505,0.0002082507,0.00005684131,0.000003758298,0.00004376396,0.9987776,0.000146138,0.0005485028],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8421782,"threshold_uncertainty_score":0.5279664,"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."}}