{"id":"W6887197907","doi":"10.15468/dl.ug8z77","title":"Occurrence Download","year":2021,"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); Set (abstract data type); 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":[0.001066599,0.001952577,0.001729685,0.005369901,0.000943639,0.002543577,0.002836335,0.002118733,0.1589192],"category_scores_gemma":[0.006516412,0.0009185419,0.001184335,0.01071353,0.0004454984,0.002254555,0.002421131,0.001991352,0.2072201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001594792,"about_ca_system_score_gemma":0.002313874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01968714,"about_ca_topic_score_gemma":0.03148916,"domain_scores_codex":[0.9988459,0.0001573306,0.0001608163,0.0003929826,0.0002578314,0.0001850588],"domain_scores_gemma":[0.9971905,0.0008183868,0.0002741584,0.000715818,0.0006856413,0.000315475],"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":[0.00003428324,0.00001265768,0.000423043,0.0006089546,0.00001708599,0.00001585278,0.00002190583,0.0001456813,0.0001227052,0.0003760886,0.9967554,0.001466375],"study_design_scores_gemma":[0.00009131838,0.000009875542,0.00228758,0.0002201324,0.00001698191,0.00004024131,0.00007313173,0.0001708286,0.0001974368,0.0007788609,0.9960943,0.00001921147],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003785521,0.00002405008,0.00003362006,0.00003014114,0.000009241999,0.00000473365,0.9991257,0.0002643724,0.0004704245],"genre_scores_gemma":[0.0001505471,0.00003014248,0.000159113,0.00003795443,0.000003208936,0.00003958985,0.9990977,0.000102709,0.0003789934],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8410808,"threshold_uncertainty_score":0.5316377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}