{"id":"W6943473629","doi":"10.15468/dl.nt58bd","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":"Census; Download; Matching (statistics); Herbarium; Tree (set theory)","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":[0.0008568705,0.002607513,0.002044182,0.006237096,0.001462069,0.004186132,0.003220498,0.002597238,0.2727073],"category_scores_gemma":[0.007298987,0.001031805,0.001780932,0.01042347,0.0004425019,0.004637263,0.0037448,0.002459269,0.3746533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001784089,"about_ca_system_score_gemma":0.002431696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01999351,"about_ca_topic_score_gemma":0.03762736,"domain_scores_codex":[0.9986783,0.000162172,0.0001799269,0.0004894466,0.0002899703,0.0002002279],"domain_scores_gemma":[0.9972312,0.0007244176,0.0002132701,0.0006689485,0.0008527906,0.0003092905],"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":[0.0000450056,0.00001262142,0.0003324557,0.0005871103,0.00001324645,0.00002488792,0.00002527674,0.0001045437,0.00008485802,0.0004801317,0.9955466,0.002743312],"study_design_scores_gemma":[0.0000621435,0.00001134852,0.00108803,0.0001798083,0.00001271151,0.00005451695,0.00009245874,0.0002841148,0.0001502688,0.001379273,0.9966655,0.00001968643],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007994365,0.00009074904,0.0001619308,0.00009459337,0.00003391445,0.00001328427,0.9950973,0.002032399,0.002395878],"genre_scores_gemma":[0.000313072,0.00008053869,0.0005535005,0.000107422,0.00001120957,0.00005374836,0.9970464,0.0005069521,0.001327159],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7272927,"threshold_uncertainty_score":0.9122968,"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."}}