{"id":"W6887197209","doi":"10.15468/dl.tuhav3","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":[0.0009888249,0.001943902,0.001576441,0.005224956,0.001014607,0.002896664,0.00290339,0.001957485,0.1839489],"category_scores_gemma":[0.006401179,0.0009569196,0.001229975,0.0109569,0.0004411251,0.00250119,0.002637429,0.002050502,0.2624316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001651752,"about_ca_system_score_gemma":0.002483746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02249457,"about_ca_topic_score_gemma":0.03612174,"domain_scores_codex":[0.998922,0.000148406,0.0001442983,0.0003757594,0.0002357071,0.0001739347],"domain_scores_gemma":[0.9974726,0.0007290683,0.0002212225,0.0006578021,0.0006459415,0.0002734507],"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":[0.00002450352,0.000009781662,0.0003332236,0.0005299099,0.00001318533,0.00001342286,0.00002323742,0.000108367,0.00008875302,0.000372316,0.9969574,0.001525854],"study_design_scores_gemma":[0.00005336972,0.000006230101,0.001385052,0.0001768702,0.00001200221,0.0000313382,0.00007049979,0.000119046,0.0001482434,0.0007183386,0.9972643,0.00001468136],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003328114,0.0000268226,0.00004571267,0.00003555444,0.00001144225,0.000005203772,0.9987663,0.0003715799,0.0007041856],"genre_scores_gemma":[0.0001381356,0.0000392233,0.000212181,0.00004570998,0.000003567195,0.00004296619,0.9987941,0.0001636219,0.0005605374],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8160511,"threshold_uncertainty_score":0.6153703,"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."}}