{"id":"W6924607684","doi":"10.15468/dl.tsarun","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Financial Reporting and Valuation Research","field":"Business, Management and Accounting","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001014314,0.000220632,0.0002314893,0.0002193931,0.0007347808,0.0004649259,0.0005676908,0.000175769,0.07603318],"category_scores_gemma":[0.001023546,0.0002363682,0.0001528901,0.000740854,0.0000934047,0.001790691,0.0008776943,0.0004080099,0.1541536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002669223,"about_ca_system_score_gemma":0.0001846761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00355173,"about_ca_topic_score_gemma":0.00003012332,"domain_scores_codex":[0.9978688,0.00002418806,0.0004730916,0.0002375266,0.001077316,0.0003190894],"domain_scores_gemma":[0.9984155,0.0000164211,0.0006364961,0.0004230492,0.0004821798,0.00002633185],"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":[0.00003900255,0.00003665798,0.002944026,0.0002416773,0.00001262319,0.000004320062,0.000005509501,0.00002720005,1.440914e-8,0.000001131303,0.9943185,0.002369288],"study_design_scores_gemma":[0.0002297207,0.000008790264,0.000365275,0.000001418904,0.00003860315,0.000001441296,0.00009837263,0.000001191337,1.216495e-7,0.000004597546,0.9990112,0.0002392939],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001001213,0.000009290255,0.000001748388,0.0002995011,0.0009385039,0.0003293876,0.9964757,0.0001155485,0.0008291085],"genre_scores_gemma":[0.00002932363,0.00001203203,2.811033e-7,0.001310129,0.00000888442,0.00001225774,0.9986265,2.063833e-8,5.44711e-7],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07812046,"threshold_uncertainty_score":0.9638816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03655301397891376,"score_gpt":0.2602991436733361,"score_spread":0.2237461296944223,"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."}}