{"id":"W6906192678","doi":"10.15468/dl.z3jkxy","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":[0.0009645664,0.002279193,0.001667423,0.004509647,0.001017668,0.002625042,0.003123356,0.001980123,0.1447471],"category_scores_gemma":[0.006101083,0.0009629587,0.001242317,0.009088506,0.0004619168,0.002387346,0.002600907,0.002012273,0.2013627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001747721,"about_ca_system_score_gemma":0.002573224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02453058,"about_ca_topic_score_gemma":0.04131374,"domain_scores_codex":[0.9989904,0.0001382126,0.000135004,0.0003624333,0.0002208078,0.0001531599],"domain_scores_gemma":[0.9978365,0.0006126615,0.0002025006,0.0005494463,0.0005388036,0.0002600725],"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":[0.00003817412,0.00001273253,0.0003842305,0.0005846603,0.00001666918,0.00001692216,0.00002446358,0.000149921,0.0001193308,0.0004576443,0.996653,0.001542296],"study_design_scores_gemma":[0.00008764991,0.000009088782,0.001453173,0.0001798157,0.00001534884,0.00004113992,0.00006542207,0.0002014482,0.0002036522,0.0009499077,0.9967745,0.00001872098],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004766004,0.00003224593,0.00005801418,0.00003654605,0.00001092074,0.000005850765,0.998516,0.0005954747,0.0006972755],"genre_scores_gemma":[0.0001585905,0.00003835274,0.0002449766,0.00004637466,0.000002724971,0.00003647255,0.9988282,0.0001982637,0.0004460046],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8552529,"threshold_uncertainty_score":0.4842273,"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."}}