{"id":"W6924738579","doi":"10.15468/dl.pgk8r6","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Range (aeronautics); Set (abstract data type); Identification (biology); Download","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":[0.0009530071,0.00225567,0.001590226,0.004482329,0.001018321,0.002566458,0.003046765,0.001942209,0.1313384],"category_scores_gemma":[0.005833497,0.0009316729,0.001223307,0.008961118,0.0004680965,0.002340771,0.002592137,0.002017325,0.1906011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001706115,"about_ca_system_score_gemma":0.002567836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02463314,"about_ca_topic_score_gemma":0.04236553,"domain_scores_codex":[0.998992,0.000136626,0.000133534,0.0003570448,0.0002248212,0.0001559914],"domain_scores_gemma":[0.9978932,0.0005615188,0.0001964736,0.0005491746,0.0005332208,0.0002664313],"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":[0.00003796896,0.00001343027,0.0004012914,0.0005438132,0.00001571744,0.00001720497,0.00002478875,0.0001474504,0.0001259971,0.0004562739,0.9966297,0.00158641],"study_design_scores_gemma":[0.00008310892,0.000009375996,0.001560161,0.00016956,0.00001417526,0.00004283731,0.00006968105,0.0002111704,0.0002144621,0.0009327739,0.9966741,0.00001868157],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005502802,0.0000336174,0.00006053169,0.00003800848,0.00001189615,0.000006320529,0.9984246,0.0006343235,0.0007356088],"genre_scores_gemma":[0.0001655786,0.00003693132,0.0002526249,0.00004484289,0.000002779831,0.00003515378,0.9988362,0.0001857389,0.0004401225],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8686616,"threshold_uncertainty_score":0.4393708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0089153214616674,"score_gpt":0.2136767702076688,"score_spread":0.2047614487460014,"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."}}