{"id":"W6886867159","doi":"10.15468/dl.3hafcd","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set; Identification (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":[0.00100525,0.001940009,0.001648366,0.005519572,0.001010556,0.002579347,0.002789507,0.002003842,0.1604691],"category_scores_gemma":[0.006046874,0.0009126646,0.001130717,0.0105579,0.0004581306,0.002310225,0.002556665,0.001949666,0.2133392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001582921,"about_ca_system_score_gemma":0.002456596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02283342,"about_ca_topic_score_gemma":0.03964899,"domain_scores_codex":[0.9989392,0.0001421445,0.0001384326,0.000360252,0.0002415346,0.0001784812],"domain_scores_gemma":[0.9974971,0.0007046244,0.000242619,0.000642838,0.0006128954,0.0002999246],"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":[0.00002913173,0.00001070875,0.0003659245,0.0005886665,0.00001514117,0.00001558804,0.00002525884,0.0001188183,0.00011532,0.0004040866,0.9968912,0.001420082],"study_design_scores_gemma":[0.00006751846,0.000007221501,0.001765178,0.0002000698,0.00001399074,0.00003669263,0.00007084462,0.000118352,0.0001746507,0.0007598939,0.9967684,0.00001723755],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003812199,0.00002768996,0.00004119451,0.00003091051,0.00001050347,0.000004886389,0.9988872,0.00033033,0.000629209],"genre_scores_gemma":[0.000153154,0.00003422788,0.0001851973,0.00004153479,0.000003142339,0.00003790647,0.9989579,0.000138349,0.0004486583],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8395309,"threshold_uncertainty_score":0.5368226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01437393559742932,"score_gpt":0.2320798631925623,"score_spread":0.217705927595133,"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."}}