{"id":"W6942924590","doi":"10.15468/dl.3mnjht","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; Set (abstract data type)","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":[0.0008832946,0.001840922,0.001513733,0.004909141,0.0009927186,0.002540132,0.00268839,0.002035508,0.180339],"category_scores_gemma":[0.005983202,0.0008713275,0.001128523,0.009369038,0.0004257673,0.002382871,0.002523687,0.001917682,0.230648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001632285,"about_ca_system_score_gemma":0.002310198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02405834,"about_ca_topic_score_gemma":0.03809923,"domain_scores_codex":[0.9990351,0.0001269753,0.0001231638,0.0003323381,0.0002168753,0.0001655709],"domain_scores_gemma":[0.9976357,0.0006954318,0.0002150382,0.0005898961,0.0005965906,0.0002673822],"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":[0.0000247643,0.000009549116,0.0003347805,0.00049379,0.00001231028,0.00001458639,0.00002287287,0.0001061056,0.0000982897,0.0003663294,0.9971632,0.001353411],"study_design_scores_gemma":[0.0000638105,0.00000731973,0.001742439,0.0002000767,0.00001353812,0.00003838759,0.00007701964,0.0001472031,0.0001804516,0.000747115,0.9967655,0.00001711924],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004020557,0.00002850923,0.00004606164,0.00003998308,0.00001284032,0.000005158022,0.9987295,0.0004004064,0.0006972883],"genre_scores_gemma":[0.0001757141,0.00003819816,0.0002116884,0.000052799,0.000003791799,0.00004145107,0.998738,0.0001685082,0.0005698995],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.819661,"threshold_uncertainty_score":0.6032939,"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."}}