{"id":"W6943575924","doi":"10.15468/dl.ppthwz","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); Alien","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":[0.0009456893,0.001904187,0.001566608,0.005245811,0.001014591,0.002855765,0.002815646,0.001924608,0.1881634],"category_scores_gemma":[0.006292227,0.0009553345,0.001213027,0.01084354,0.0004434811,0.002493473,0.002649345,0.002016895,0.2617676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001664186,"about_ca_system_score_gemma":0.002481038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0224995,"about_ca_topic_score_gemma":0.03630025,"domain_scores_codex":[0.9989503,0.0001381717,0.0001424719,0.0003692103,0.0002299127,0.0001699907],"domain_scores_gemma":[0.9975004,0.0007240229,0.0002210267,0.0006427322,0.0006431626,0.0002686299],"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":[0.00002547902,0.000009929838,0.0003574823,0.0005565356,0.00001303686,0.00001420197,0.00002496292,0.0001115819,0.00009507174,0.0003866325,0.9968281,0.001577018],"study_design_scores_gemma":[0.00005267314,0.000006155334,0.001447009,0.0001763677,0.00001158956,0.00003185918,0.00007253326,0.0001161137,0.0001494679,0.0007023232,0.9972194,0.00001452819],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003429964,0.0000259123,0.0000459808,0.00003454797,0.00001103335,0.00000505464,0.9987582,0.0003723536,0.000712613],"genre_scores_gemma":[0.0001487385,0.00004031977,0.0002197654,0.0000462981,0.000003584841,0.00004345299,0.9987373,0.0001744057,0.0005862343],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8118366,"threshold_uncertainty_score":0.6294692,"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."}}