{"id":"W6962410817","doi":"10.15468/dl.the5jd","title":"Occurrence Download","year":2023,"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); Alien; R package","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":[0.001033403,0.001912032,0.00161162,0.005212049,0.001047574,0.002795598,0.00284704,0.002113585,0.1774758],"category_scores_gemma":[0.006536688,0.0009147779,0.001275664,0.009731063,0.0004395705,0.002427213,0.002646868,0.002033432,0.2502519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00166909,"about_ca_system_score_gemma":0.002487068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02130906,"about_ca_topic_score_gemma":0.0338568,"domain_scores_codex":[0.9989215,0.0001507059,0.0001359781,0.0003747903,0.0002401918,0.0001768314],"domain_scores_gemma":[0.9974485,0.0007704269,0.0002233796,0.0006334163,0.0006516312,0.0002725838],"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":[0.00002720964,0.00001087571,0.0003437373,0.0005681102,0.00001337316,0.00001465472,0.00002220015,0.0001035813,0.0001066097,0.0003600365,0.9969272,0.001502387],"study_design_scores_gemma":[0.00006363379,0.000007934059,0.00166077,0.0002136672,0.00001390125,0.00003527844,0.00007076428,0.000137812,0.0001831817,0.0007753468,0.9968207,0.00001698432],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003783411,0.0000315723,0.00004568084,0.00004159768,0.00001256522,0.000006224108,0.9986841,0.0004152715,0.0007251507],"genre_scores_gemma":[0.0001588882,0.00004080455,0.0002112754,0.00005319181,0.000003968303,0.00005180555,0.9987382,0.0001690603,0.0005727115],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8225242,"threshold_uncertainty_score":0.5937158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}