{"id":"W6905751347","doi":"10.15468/dl.m7r49b","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Research Data Management Practices","field":"Computer Science","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":[0.0009044782,0.002141667,0.00138666,0.004530448,0.000985304,0.002315182,0.002812094,0.001883416,0.1161423],"category_scores_gemma":[0.006039012,0.0008670291,0.001273763,0.008454452,0.0004416851,0.00220475,0.002444469,0.001954017,0.1769975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001641076,"about_ca_system_score_gemma":0.00240145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02473712,"about_ca_topic_score_gemma":0.04115903,"domain_scores_codex":[0.9989324,0.0001361711,0.0001467404,0.00036905,0.0002509764,0.0001645567],"domain_scores_gemma":[0.9975973,0.0006277031,0.0002167731,0.0006607881,0.0006257732,0.0002716264],"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":[0.00003065113,0.00001268117,0.0003607031,0.000400698,0.0000126939,0.00001475276,0.0000211376,0.0001255436,0.0001134075,0.0003694312,0.9971017,0.001436414],"study_design_scores_gemma":[0.00008580148,0.00001056777,0.001879313,0.0001553516,0.00001357169,0.00004731463,0.00007298243,0.0002486762,0.0002295617,0.0008658935,0.9963728,0.000018245],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000669987,0.00003188412,0.00006513137,0.00004985268,0.00001561218,0.000007757955,0.9982646,0.000714631,0.0007835938],"genre_scores_gemma":[0.0001755467,0.00003268093,0.0002577931,0.00005098172,0.000003652261,0.00004190955,0.9988071,0.0001735645,0.0004569113],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8838577,"threshold_uncertainty_score":0.3885348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03761864349018661,"score_gpt":0.2888078212483628,"score_spread":0.2511891777581762,"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."}}