{"id":"W6924377552","doi":"10.15468/dl.a92gap","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":[0.0009874428,0.001939439,0.001639375,0.005346116,0.001021398,0.002899519,0.002902925,0.001957956,0.1917972],"category_scores_gemma":[0.006462482,0.0009945371,0.001270673,0.01109595,0.000448518,0.002599234,0.002749447,0.002057977,0.2717903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001647301,"about_ca_system_score_gemma":0.002510846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02119021,"about_ca_topic_score_gemma":0.03395046,"domain_scores_codex":[0.9989411,0.0001400326,0.0001417503,0.0003787732,0.0002263693,0.0001719703],"domain_scores_gemma":[0.9975539,0.0006962118,0.0002130062,0.0006474087,0.0006216798,0.0002678666],"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":[0.00002505203,0.000009449275,0.0003205723,0.0005673365,0.00001330074,0.00001354442,0.00002366918,0.0001034883,0.00009355988,0.0003757206,0.9968331,0.001621141],"study_design_scores_gemma":[0.00005112092,0.000005927295,0.001275974,0.0001758356,0.00001185706,0.00003015226,0.00006673455,0.0001110869,0.000145612,0.0007075348,0.9974042,0.00001395127],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003206436,0.00002773645,0.00004768048,0.00003450132,0.00001146356,0.000005345721,0.9987137,0.0004050248,0.0007224929],"genre_scores_gemma":[0.0001425997,0.00004260891,0.0002314035,0.00004929886,0.000003637985,0.00004688365,0.9987084,0.0001881801,0.0005870265],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8082028,"threshold_uncertainty_score":0.6416256,"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."}}