{"id":"W6887131632","doi":"10.15468/dl.qdz6ww","title":"Occurrence Download","year":2022,"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","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":[0.001020629,0.002046563,0.001664421,0.004934685,0.001038767,0.002640559,0.002881262,0.002107169,0.1633653],"category_scores_gemma":[0.006013857,0.0009696346,0.00119693,0.009827179,0.0004636123,0.002510349,0.002647035,0.002120548,0.2218315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00157074,"about_ca_system_score_gemma":0.002367223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0217707,"about_ca_topic_score_gemma":0.03768471,"domain_scores_codex":[0.9989216,0.0001497726,0.0001354441,0.00037653,0.0002418636,0.0001747945],"domain_scores_gemma":[0.9974521,0.0007170102,0.0002298238,0.0006799521,0.0006211429,0.0002999074],"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":[0.0000275618,0.00001107592,0.0003253034,0.0005080008,0.00001360038,0.00001409511,0.00002315983,0.0001139295,0.0001074957,0.0003846497,0.9972295,0.001241683],"study_design_scores_gemma":[0.00007258329,0.000007383998,0.001654366,0.0001767845,0.00001278245,0.00003418895,0.00006984775,0.0001308698,0.0001718835,0.0007926333,0.9968591,0.00001751893],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003876324,0.00002550616,0.0000464072,0.0000351829,0.00001160505,0.000005453297,0.9987831,0.0003793086,0.0006747593],"genre_scores_gemma":[0.0001527839,0.00003209107,0.0002002508,0.00004581397,0.000003386379,0.00004305647,0.9988788,0.0001594934,0.0004843657],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8366347,"threshold_uncertainty_score":0.5465114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}