{"id":"W6905770564","doi":"10.15468/dl.rrwqbp","title":"Occurrence Download","year":2022,"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); 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":[0.001068518,0.002019813,0.00168718,0.005312149,0.001031331,0.00270225,0.002926036,0.002086668,0.1702876],"category_scores_gemma":[0.006181901,0.0009776666,0.001161628,0.01057443,0.0004755813,0.002401268,0.002643728,0.002127287,0.2368886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001572152,"about_ca_system_score_gemma":0.00236182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0198814,"about_ca_topic_score_gemma":0.03372865,"domain_scores_codex":[0.9989335,0.0001488348,0.0001329505,0.0003795617,0.000231547,0.0001737168],"domain_scores_gemma":[0.9974735,0.0007259476,0.0002421833,0.000660015,0.0006019018,0.0002963875],"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":[0.00002724376,0.00001087783,0.0003407289,0.000549409,0.00001450875,0.00001397174,0.00002429079,0.0001179344,0.0001144122,0.0003869451,0.9970734,0.001326275],"study_design_scores_gemma":[0.0000687737,0.000006778689,0.001596346,0.0001813659,0.00001293026,0.00003229771,0.00006864664,0.000120704,0.000169498,0.0007793605,0.9969463,0.00001700072],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003720604,0.00002516947,0.00004372782,0.00003140508,0.0000109694,0.000004794651,0.9988859,0.0003307078,0.0006300293],"genre_scores_gemma":[0.0001533763,0.00003317944,0.0002005858,0.00004358419,0.000003462128,0.00004410506,0.9988814,0.0001596657,0.0004806139],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8297124,"threshold_uncertainty_score":0.5696688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}