{"id":"W6942951906","doi":"10.15468/dl.ngukcm","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":"Download; Matching (statistics); Range (aeronautics); Set (abstract data type); Data set","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":[0.0009235941,0.002175214,0.001573868,0.004367839,0.001054582,0.002591433,0.003116667,0.002156666,0.1249876],"category_scores_gemma":[0.005712531,0.0008970004,0.001254482,0.008437752,0.0004620659,0.002263891,0.002547546,0.002086087,0.1928571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001689399,"about_ca_system_score_gemma":0.002499985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02493243,"about_ca_topic_score_gemma":0.04070409,"domain_scores_codex":[0.9990275,0.0001308757,0.0001247162,0.0003382369,0.0002232847,0.0001554577],"domain_scores_gemma":[0.9979734,0.0005516104,0.0001796259,0.0005403222,0.0005024769,0.0002525622],"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":[0.00003691509,0.00001392762,0.0004113101,0.0005332797,0.00001602466,0.0000198289,0.00002482788,0.0001547988,0.0001236115,0.0004220493,0.9967705,0.001473017],"study_design_scores_gemma":[0.00009310443,0.000009901529,0.001808472,0.000185356,0.00001565428,0.0000497394,0.00008373451,0.0002577498,0.0002373129,0.0009497974,0.9962887,0.00002052467],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005416337,0.00003173956,0.00005553349,0.00004310635,0.00001182119,0.000006353859,0.998556,0.0005862562,0.0006550563],"genre_scores_gemma":[0.000167605,0.00003249633,0.0002153955,0.00004315542,0.000002861746,0.00003541489,0.9989789,0.0001459136,0.0003782967],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8750124,"threshold_uncertainty_score":0.4181251,"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."}}