{"id":"W7104602914","doi":"10.15468/dl.3ceyba","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":"Download; Matching (statistics); Range (aeronautics); Data set","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":[0.001093472,0.001719601,0.001623551,0.005308246,0.001003859,0.002732618,0.002814004,0.001951059,0.1928574],"category_scores_gemma":[0.00692663,0.000941782,0.001089054,0.01056379,0.0004473125,0.002374718,0.002610973,0.001978651,0.2403006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00162132,"about_ca_system_score_gemma":0.002375488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02174913,"about_ca_topic_score_gemma":0.03392879,"domain_scores_codex":[0.9989021,0.000147356,0.0001459346,0.0003792458,0.0002432647,0.0001819995],"domain_scores_gemma":[0.9970334,0.0008599021,0.0002930468,0.0007543847,0.0007362912,0.0003229916],"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":[0.00002644582,0.000009343773,0.0003644353,0.0005152472,0.00001374424,0.00001201442,0.0000225755,0.0001075173,0.0000929744,0.0003679155,0.9970362,0.001431684],"study_design_scores_gemma":[0.00006399661,0.000006697695,0.001900227,0.0002068809,0.00001401153,0.00002960973,0.00007447876,0.000123498,0.0001551011,0.000731231,0.996678,0.0000163634],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003059148,0.00002008985,0.00003749805,0.00002929458,0.000009612421,0.000004102121,0.9990388,0.0002774736,0.0005525119],"genre_scores_gemma":[0.0001572613,0.00003203267,0.0001895241,0.00004175168,0.000003495865,0.00003925852,0.9989001,0.0001501861,0.0004863309],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8071426,"threshold_uncertainty_score":0.6451722,"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."}}