{"id":"W7083298340","doi":"10.15468/dl.dw4zkm","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lichen; Herbarium; Parmeliaceae; Botanical garden","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":[0.0009521586,0.00261553,0.002217759,0.0059483,0.001160983,0.003872949,0.00262772,0.002195071,0.3808446],"category_scores_gemma":[0.006533125,0.0009456546,0.001903533,0.009699866,0.000386743,0.003401932,0.003640552,0.001990667,0.4380596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00152673,"about_ca_system_score_gemma":0.002466436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02055619,"about_ca_topic_score_gemma":0.03439623,"domain_scores_codex":[0.9987314,0.0001591423,0.0001614651,0.0005010008,0.0002254151,0.000221585],"domain_scores_gemma":[0.997283,0.000729802,0.0001961648,0.0006958164,0.0006938926,0.0004012606],"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":[0.00005785524,0.00001468417,0.0003071824,0.0006185856,0.00001579721,0.00001465345,0.00002202884,0.0001219258,0.00009330887,0.0004085106,0.9950286,0.003296854],"study_design_scores_gemma":[0.00009650932,0.00001624292,0.00149849,0.0002083022,0.00001747274,0.00003453468,0.00007499593,0.0002792683,0.0001387405,0.001224635,0.9963881,0.00002275335],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004163597,0.00003978915,0.00007218838,0.00004641431,0.00002622941,0.0000101917,0.9973273,0.0009515269,0.001484764],"genre_scores_gemma":[0.0002096536,0.0000593549,0.000467092,0.00008672103,0.000008750165,0.00006087057,0.997568,0.0002913262,0.001248241],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3808446,"threshold_uncertainty_score":0.88315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07651954130705184,"score_gpt":0.3769971109843833,"score_spread":0.3004775696773315,"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."}}