{"id":"W4395408739","doi":"10.15468/dl.4tk5wj","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Computer science; World Wide Web","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":[0.001036825,0.002424455,0.001623186,0.005077331,0.001139315,0.002536749,0.003165684,0.002327162,0.1041403],"category_scores_gemma":[0.005162365,0.0009323664,0.001237476,0.009244063,0.0004871462,0.002177683,0.002588466,0.002244623,0.165066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001881234,"about_ca_system_score_gemma":0.002615568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02283275,"about_ca_topic_score_gemma":0.03909589,"domain_scores_codex":[0.998915,0.0001427219,0.0001343392,0.0003617226,0.0002777069,0.0001686218],"domain_scores_gemma":[0.9979006,0.0005874895,0.0001935281,0.0005390901,0.0004964626,0.0002828041],"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":[0.00003913043,0.00001872867,0.0004295291,0.0005233384,0.00001646361,0.00002402198,0.00002709609,0.0001735289,0.000174098,0.0004575179,0.9963512,0.001765283],"study_design_scores_gemma":[0.00009130382,0.00001059816,0.002058309,0.0001760454,0.00001586102,0.00006333285,0.00008360862,0.0002959454,0.000313236,0.0009490642,0.9959222,0.00002049595],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007645024,0.00004007007,0.00007131643,0.00005084497,0.0000136453,0.000007814279,0.9983239,0.0006291075,0.0007868632],"genre_scores_gemma":[0.0001614732,0.00003257227,0.000236104,0.00003867662,0.000002544682,0.00003543284,0.9990069,0.000120357,0.0003658861],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8958597,"threshold_uncertainty_score":0.3483841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01816194985173344,"score_gpt":0.2455588629157748,"score_spread":0.2273969130640414,"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."}}