{"id":"W6943432047","doi":"10.15468/dl.s5knte","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); Confidentiality; Real world data","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":[0.000909688,0.002080405,0.00162996,0.005127537,0.001048728,0.002550169,0.002777328,0.00206587,0.1519087],"category_scores_gemma":[0.006005337,0.0008810095,0.00123508,0.01013019,0.0004558314,0.002309773,0.00262522,0.001927272,0.2241662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001627868,"about_ca_system_score_gemma":0.002433355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02512981,"about_ca_topic_score_gemma":0.04131065,"domain_scores_codex":[0.9989671,0.0001345599,0.0001260163,0.000362695,0.000236438,0.0001733422],"domain_scores_gemma":[0.9976581,0.0006653686,0.0002081929,0.0006131189,0.0005902512,0.00026492],"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":[0.00002777333,0.00001085729,0.0003718493,0.0005513933,0.00001413744,0.00001566714,0.0000248296,0.0001268056,0.000111008,0.0003477847,0.9968992,0.001498648],"study_design_scores_gemma":[0.00006209714,0.000008513545,0.001824617,0.0002082329,0.00001467678,0.00003957643,0.0000827259,0.0001633339,0.0001818588,0.0007416326,0.9966553,0.00001747846],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004777715,0.00003495717,0.00004851726,0.0000393905,0.00001389987,0.000005358081,0.9986811,0.0004567211,0.000672129],"genre_scores_gemma":[0.0001623018,0.00003873926,0.0001991871,0.00004407149,0.000003610743,0.00003957972,0.9988716,0.0001535464,0.0004873518],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8480913,"threshold_uncertainty_score":0.5081851,"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."}}