{"id":"W7108471845","doi":"10.15468/dl.gsxsfg","title":"Occurrence Download","year":2025,"lang":"","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geodetic datum; Download; Matching (statistics); Range (aeronautics); Complement (music)","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":[0.0009866125,0.001852142,0.001578578,0.004931418,0.001032439,0.002941192,0.002822546,0.001900147,0.1956],"category_scores_gemma":[0.006371659,0.0009426298,0.001083955,0.009712163,0.0004451813,0.002393292,0.002593767,0.00202897,0.2547942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001552727,"about_ca_system_score_gemma":0.002312571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02127014,"about_ca_topic_score_gemma":0.03207896,"domain_scores_codex":[0.9990024,0.0001326827,0.0001251635,0.0003419679,0.0002291347,0.0001686563],"domain_scores_gemma":[0.997603,0.0007059873,0.0002224052,0.0006181684,0.0005804475,0.0002700601],"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":[0.00002652025,0.000009301815,0.0003174762,0.000458567,0.00001245581,0.00001336752,0.00002345966,0.00009834036,0.00009275396,0.0003665035,0.9972025,0.001378761],"study_design_scores_gemma":[0.000064766,0.000006689525,0.001599091,0.0001797255,0.0000126733,0.00003364348,0.00007645074,0.0001429653,0.0001722269,0.0007853038,0.99691,0.00001647929],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003519889,0.00002124985,0.00004749546,0.000034923,0.00001156373,0.000004908467,0.9987483,0.0004470223,0.0006492055],"genre_scores_gemma":[0.0001613998,0.0000316065,0.0002069509,0.00004458277,0.000003664609,0.00004247344,0.9987636,0.0002113068,0.0005345837],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8044,"threshold_uncertainty_score":0.6543472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01434536157882973,"score_gpt":0.2311093459842124,"score_spread":0.2167639844053826,"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."}}