{"id":"W6962075324","doi":"10.15468/dl.t6zgrw","title":"Occurrence Download","year":2023,"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); Data set; Order (exchange)","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":[0.0009492578,0.001885249,0.001480987,0.004450578,0.0008934704,0.002430537,0.002659352,0.001885154,0.155046],"category_scores_gemma":[0.005722623,0.000899854,0.001183606,0.009914292,0.0003962916,0.002347479,0.002472692,0.001950994,0.2185162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001614865,"about_ca_system_score_gemma":0.002467173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02529859,"about_ca_topic_score_gemma":0.04289337,"domain_scores_codex":[0.9989482,0.0001366386,0.0001368474,0.0003694087,0.0002325585,0.0001763743],"domain_scores_gemma":[0.9975348,0.0006263115,0.0002315068,0.0006742615,0.0006500274,0.0002831191],"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":[0.00002463098,0.000009107799,0.0003473835,0.0004020731,0.00001315286,0.00001094557,0.00001824041,0.0001091599,0.00009024404,0.0003422432,0.9974086,0.001224264],"study_design_scores_gemma":[0.00006119935,0.000007104148,0.001848408,0.0001638409,0.00001345337,0.00003097125,0.00006380035,0.0001459763,0.0001783196,0.0007626168,0.9967086,0.00001557983],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003299805,0.0000195898,0.00003759805,0.00003034576,0.00001041458,0.000004183059,0.9990109,0.0003007837,0.0005531304],"genre_scores_gemma":[0.0001367196,0.00002644318,0.0001751599,0.00003913676,0.000003068511,0.00003303025,0.9990189,0.0001213862,0.0004461982],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.844954,"threshold_uncertainty_score":0.5186805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}