{"id":"W6924165470","doi":"10.15468/dl.2hkyu9","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Herbarium; Download; Matching (statistics); Range (aeronautics); Brassicaceae","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":[0.000983055,0.002009443,0.001671995,0.00555048,0.001235482,0.002754159,0.003088614,0.002244515,0.1474329],"category_scores_gemma":[0.006388908,0.0009296205,0.001357333,0.01040455,0.000433437,0.002676802,0.002750008,0.002078602,0.215204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001970656,"about_ca_system_score_gemma":0.00271283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02645679,"about_ca_topic_score_gemma":0.04517804,"domain_scores_codex":[0.9987434,0.0001538401,0.0001575433,0.0004420678,0.0002917421,0.0002115376],"domain_scores_gemma":[0.9972833,0.0006818574,0.0002361615,0.000727016,0.0007602005,0.000311559],"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":[0.0000359621,0.00001215487,0.0004282832,0.00055294,0.00001356384,0.00001736813,0.00002201215,0.0001209329,0.0001350141,0.0003830381,0.9963759,0.001902793],"study_design_scores_gemma":[0.00006276961,0.00000937975,0.001829995,0.000194473,0.00001248576,0.00004284657,0.00008446051,0.0001911121,0.0002022172,0.0006947058,0.9966584,0.00001708079],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005417537,0.00003730901,0.0000551555,0.00004351673,0.00001589779,0.000006754304,0.9985421,0.0005088124,0.0007363562],"genre_scores_gemma":[0.0001687365,0.00003787453,0.000239331,0.00004465196,0.000003831555,0.00004136553,0.9988465,0.0001355041,0.0004821699],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8525671,"threshold_uncertainty_score":0.4932121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01437393559742932,"score_gpt":0.2320798631925623,"score_spread":0.217705927595133,"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."}}