{"id":"W6886865054","doi":"10.15468/dl.7exctm","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Theoretical and Computational Physics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Field (mathematics); Range (aeronautics); Download; Sequence (biology)","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":[0.0008723518,0.002197524,0.001523474,0.004555019,0.001073365,0.00251703,0.002974659,0.001972333,0.1367385],"category_scores_gemma":[0.005404306,0.0008208077,0.001187711,0.008675506,0.0004244636,0.00228432,0.002496211,0.001943995,0.2043017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001714,"about_ca_system_score_gemma":0.002443602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02221955,"about_ca_topic_score_gemma":0.03950439,"domain_scores_codex":[0.998965,0.0001365267,0.0001239944,0.0003643605,0.0002366439,0.0001734649],"domain_scores_gemma":[0.9979312,0.0005361474,0.0001906297,0.0005324753,0.0005601338,0.0002494241],"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":[0.00003100037,0.0000124562,0.0003713411,0.0004509803,0.00001303711,0.00001483213,0.00001916932,0.0001356848,0.0001079375,0.0004325042,0.996919,0.001491979],"study_design_scores_gemma":[0.00006887046,0.000009227226,0.001576252,0.0001539409,0.0000131601,0.0000393664,0.00006057989,0.0002107782,0.0002237022,0.0009978572,0.9966281,0.00001817892],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006043633,0.00003808107,0.00006134475,0.0000422075,0.00001529464,0.000006014633,0.9983091,0.000593668,0.0008738555],"genre_scores_gemma":[0.0001702277,0.00003584111,0.0002343385,0.00004774944,0.000003535586,0.00003511956,0.9987514,0.0001602641,0.0005614992],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8632615,"threshold_uncertainty_score":0.4574358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005922541853096062,"score_gpt":0.2067658083679189,"score_spread":0.2008432665148228,"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."}}