{"id":"W6887235013","doi":"10.15468/dl.w9xz92","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; 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":[0.0009809518,0.00208438,0.001669418,0.004897917,0.001005738,0.002626032,0.002904269,0.002228137,0.1653522],"category_scores_gemma":[0.006061227,0.0009438678,0.001207682,0.009368388,0.0004531296,0.002468202,0.002618128,0.002064042,0.2219948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001534254,"about_ca_system_score_gemma":0.002316886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.020545,"about_ca_topic_score_gemma":0.03507967,"domain_scores_codex":[0.9989713,0.0001410437,0.0001284722,0.000367923,0.0002198962,0.0001712926],"domain_scores_gemma":[0.9975154,0.0007203024,0.0002286299,0.0006635534,0.0005754,0.000296599],"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":[0.00003101291,0.00001191102,0.0003638203,0.0005644141,0.0000156465,0.00001595553,0.00002300054,0.0001246656,0.000116555,0.0003612379,0.9971,0.001271733],"study_design_scores_gemma":[0.00008693357,0.000008898661,0.001895107,0.0001954223,0.00001562722,0.00004076298,0.00007179798,0.0001610119,0.0001892653,0.0008640875,0.9964514,0.00001970669],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003977951,0.00002552145,0.00004280603,0.00003434196,0.00001126294,0.000005066042,0.998874,0.0003898154,0.0005774797],"genre_scores_gemma":[0.0001578758,0.00003033693,0.0001886325,0.00004573237,0.000003380128,0.00003999155,0.9989498,0.0001499657,0.0004342721],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8346478,"threshold_uncertainty_score":0.5531581,"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."}}