{"id":"W7083623268","doi":"10.15468/dl.7rag6j","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set; 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":[0.001077444,0.002039707,0.001549674,0.004812453,0.0008733061,0.002462684,0.002767639,0.002061385,0.1326664],"category_scores_gemma":[0.00588403,0.0008705283,0.001229991,0.009112435,0.0004724631,0.002003577,0.00251497,0.001947192,0.189026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001674483,"about_ca_system_score_gemma":0.002368513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02346742,"about_ca_topic_score_gemma":0.03951668,"domain_scores_codex":[0.9989361,0.000165477,0.0001477975,0.0003501213,0.0002326743,0.0001678691],"domain_scores_gemma":[0.9976381,0.0006191135,0.0002390665,0.0006274688,0.0005909222,0.0002853731],"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":[0.00003611156,0.00001260221,0.000396302,0.0006011297,0.00001800872,0.00001553503,0.00002123658,0.0001337348,0.0001164642,0.0003875154,0.9968289,0.001432432],"study_design_scores_gemma":[0.00009153272,0.000009401022,0.002020291,0.0002071883,0.00001509463,0.0000383341,0.00006047503,0.0001491589,0.0001779724,0.0007456142,0.9964679,0.00001696655],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004206028,0.00003056783,0.00003627372,0.00003584292,0.0000110673,0.000005720266,0.9989457,0.0003317574,0.0005609604],"genre_scores_gemma":[0.0001565406,0.00003740125,0.000168675,0.0000504841,0.000003359861,0.00003677592,0.9990395,0.0001121439,0.0003951463],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8673336,"threshold_uncertainty_score":0.4438133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01515907726388087,"score_gpt":0.2433581181650103,"score_spread":0.2281990409011295,"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."}}