{"id":"W6924862054","doi":"10.15468/dl.v274by","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); Alien; Download; Range (aeronautics)","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":[0.0009182215,0.001934654,0.001599989,0.005570065,0.001002803,0.002736405,0.00274513,0.001848596,0.1943434],"category_scores_gemma":[0.006318378,0.0009765062,0.001208055,0.01135897,0.0004474722,0.002361543,0.002718827,0.001847847,0.2572232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001675477,"about_ca_system_score_gemma":0.002643195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02487474,"about_ca_topic_score_gemma":0.03925383,"domain_scores_codex":[0.9989144,0.0001357119,0.0001439768,0.0003882582,0.0002354887,0.0001822197],"domain_scores_gemma":[0.9974923,0.0007006674,0.0002463314,0.0006259649,0.0006640229,0.0002706538],"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":[0.00002640865,0.000008883638,0.0003523034,0.0005610695,0.00001335952,0.00001332392,0.00002542802,0.00009991367,0.0001039334,0.0003938286,0.9968812,0.001520344],"study_design_scores_gemma":[0.00005140063,0.000006458476,0.001441792,0.0001726209,0.00001323531,0.00002996763,0.00006437228,0.0001031103,0.0001638445,0.000685528,0.9972516,0.0000161572],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003286151,0.00002435898,0.00004229049,0.00002991324,0.0000103271,0.000004512526,0.9987909,0.0003696144,0.0006952034],"genre_scores_gemma":[0.0001543058,0.00004124193,0.0002202194,0.00004702216,0.000003585675,0.00004494157,0.9986324,0.0001979301,0.00065827],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8056566,"threshold_uncertainty_score":0.6501434,"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."}}