{"id":"W6924971462","doi":"10.15468/dl.xmxyys","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Real-Time Systems Scheduling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set; Statistical analysis","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":[0.0008340855,0.002107608,0.001515295,0.004453438,0.0009256212,0.00220596,0.002754836,0.002054175,0.09953208],"category_scores_gemma":[0.004984468,0.0008177345,0.001258297,0.009121929,0.0004101766,0.001891893,0.002036302,0.001877462,0.1549211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001773853,"about_ca_system_score_gemma":0.002373925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02450385,"about_ca_topic_score_gemma":0.0396561,"domain_scores_codex":[0.9990562,0.0001173101,0.0001305388,0.0003120361,0.0002219197,0.0001620776],"domain_scores_gemma":[0.997937,0.000490744,0.0001951578,0.0005628605,0.000560541,0.0002537582],"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":[0.00004376577,0.00001698934,0.0004173242,0.0005683837,0.00001796296,0.0000161789,0.00001892848,0.0002164837,0.000156735,0.0003650622,0.9965563,0.001605908],"study_design_scores_gemma":[0.0001142426,0.0000126871,0.002355832,0.0001893552,0.00001705135,0.00004244957,0.00005958582,0.0003152042,0.000294297,0.0008214218,0.9957588,0.00001905364],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006544728,0.00003734473,0.00004393181,0.00003704252,0.00001347473,0.000006726094,0.998689,0.0004831272,0.0006239648],"genre_scores_gemma":[0.0001974791,0.00003598221,0.0001708848,0.00004228136,0.000003444553,0.0000330421,0.9990715,0.0001086587,0.0003366331],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9004679,"threshold_uncertainty_score":0.3329679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01945229432125668,"score_gpt":0.2288614107278058,"score_spread":0.2094091164065491,"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."}}