{"id":"W6924707377","doi":"10.15468/dl.kvr47b","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Confidentiality; Set (abstract data type)","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":[0.0009609748,0.002109691,0.001636391,0.00446793,0.001047037,0.002465735,0.002992176,0.002238596,0.1270074],"category_scores_gemma":[0.005338005,0.0008606242,0.001234167,0.008775454,0.0004626472,0.002156816,0.002467105,0.002079993,0.196731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001715295,"about_ca_system_score_gemma":0.002383084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02373691,"about_ca_topic_score_gemma":0.03988379,"domain_scores_codex":[0.9990488,0.0001303064,0.0001173336,0.0003337602,0.0002154077,0.0001543647],"domain_scores_gemma":[0.998,0.0005412719,0.0001881096,0.0005060774,0.0005159251,0.0002485589],"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":[0.00003570138,0.00001448074,0.0004678502,0.0005503265,0.00001644033,0.00001840449,0.00002596194,0.0001552792,0.0001369618,0.0003939117,0.9966573,0.0015273],"study_design_scores_gemma":[0.00008638215,0.000009425964,0.001947158,0.0001905539,0.00001465907,0.0000423194,0.00008008036,0.0002181881,0.0002104792,0.000826981,0.9963541,0.00001968073],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004992759,0.00003087836,0.00004641437,0.00003802749,0.00001159986,0.000005861949,0.9988087,0.0004175993,0.0005909466],"genre_scores_gemma":[0.0001624989,0.00003330201,0.0002122707,0.00004319691,0.000003072439,0.00004057432,0.9989821,0.0001264802,0.000396467],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8729926,"threshold_uncertainty_score":0.4248822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01185921967997384,"score_gpt":0.2262328763460903,"score_spread":0.2143736566661165,"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."}}