{"id":"W6886946845","doi":"10.15468/dl.462cdd","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":"Matching (statistics); Download; 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":[0.0009389213,0.002000076,0.00158639,0.005362556,0.0009972051,0.002733369,0.00279578,0.001816993,0.2102689],"category_scores_gemma":[0.006332575,0.000976016,0.001200665,0.01111938,0.0004484387,0.002458559,0.002808196,0.001880044,0.270149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001665871,"about_ca_system_score_gemma":0.00258066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02451256,"about_ca_topic_score_gemma":0.0386806,"domain_scores_codex":[0.9989512,0.0001343941,0.0001355042,0.0003730339,0.0002315379,0.0001743086],"domain_scores_gemma":[0.9976277,0.0006668856,0.0002225561,0.0006014943,0.0006219939,0.0002595008],"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":[0.00002484808,0.000008188183,0.000297683,0.0005324683,0.00001195276,0.00001213248,0.00002303113,0.00009341283,0.00008925678,0.0003765334,0.9970115,0.001518824],"study_design_scores_gemma":[0.00005179342,0.000006114469,0.001263051,0.0001644153,0.00001166906,0.00002837981,0.00005996179,0.00009777154,0.0001433949,0.0006988557,0.9974596,0.00001502269],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000311669,0.00002551979,0.00004352919,0.00003286433,0.00001116242,0.000004762106,0.9986822,0.000400112,0.0007686657],"genre_scores_gemma":[0.0001503091,0.00004298308,0.0002353953,0.00005143003,0.000003855888,0.00004710299,0.9985504,0.0002218795,0.0006966126],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7897311,"threshold_uncertainty_score":0.7034195,"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."}}