{"id":"W6924437302","doi":"10.15468/dl.2cppwk","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Multidisciplinary Science and Engineering Research","field":"Decision Sciences","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002272527,0.0002631744,0.0003594613,0.0004078854,0.0004780916,0.0007072134,0.002545205,0.0003204449,0.00284563],"category_scores_gemma":[0.003149658,0.0002149687,0.0002121315,0.001831708,0.0002746306,0.001799974,0.001262973,0.00039528,0.1421811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002710125,"about_ca_system_score_gemma":0.0004344786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002821504,"about_ca_topic_score_gemma":0.00001545012,"domain_scores_codex":[0.9958575,0.0001122365,0.0006962745,0.0004366309,0.002462424,0.0004349273],"domain_scores_gemma":[0.9972916,0.0002312531,0.0002493203,0.001230116,0.0007508264,0.0002469176],"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":[0.00002484241,0.00002106703,0.001379709,0.00004548648,0.000008658383,0.000002302193,0.00003443417,0.000205237,2.936477e-8,1.482002e-7,0.9933171,0.004960964],"study_design_scores_gemma":[0.0001623762,0.00002721646,0.0003166934,0.000003092013,0.000009616426,0.000001818117,0.0002253648,0.000006124618,0.000001188369,0.000009000054,0.9990311,0.0002064602],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000496498,0.00001792138,0.0000381603,0.0004760431,0.001041726,0.0002568362,0.9972351,0.0000549127,0.0003828703],"genre_scores_gemma":[0.00002408995,0.00003727021,0.000002665125,0.00018742,0.000001111167,0.000003276932,0.9997413,3.667903e-9,0.000002879048],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1393355,"threshold_uncertainty_score":0.9980659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05947304712500872,"score_gpt":0.3415703829079301,"score_spread":0.2820973357829213,"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."}}