{"id":"W6943347242","doi":"10.15468/dl.r2etg3","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)","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":[0.0009532225,0.002219964,0.001634266,0.004268301,0.001138126,0.002653177,0.003249024,0.002242052,0.1426314],"category_scores_gemma":[0.00614623,0.00093834,0.001290258,0.008389798,0.0004922673,0.00256345,0.002682582,0.002270987,0.2067352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001758954,"about_ca_system_score_gemma":0.002629116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02514884,"about_ca_topic_score_gemma":0.04277914,"domain_scores_codex":[0.9989807,0.0001402432,0.000127616,0.0003629197,0.0002290731,0.0001593647],"domain_scores_gemma":[0.9977054,0.0006456451,0.000192084,0.0006307327,0.0005599222,0.0002662517],"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":[0.0000346881,0.00001331267,0.0003447485,0.0004803138,0.00001437212,0.00001697838,0.00002288702,0.0001414428,0.0001008643,0.0004075345,0.9970476,0.001375254],"study_design_scores_gemma":[0.00009978504,0.000009400754,0.001590134,0.0001762118,0.00001442847,0.00004617964,0.00007758353,0.0002411571,0.0002175371,0.001037739,0.9964699,0.00002002335],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005127514,0.00003041868,0.00005984789,0.00004750173,0.00001251823,0.000006721839,0.9984486,0.0006373859,0.0007057547],"genre_scores_gemma":[0.0001625891,0.00003220642,0.0002369453,0.00004713409,0.00000302486,0.00003858525,0.9988801,0.0001740916,0.000425416],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8573686,"threshold_uncertainty_score":0.4771495,"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."}}