{"id":"W6931818618","doi":"10.5281/zenodo.8098073","title":"jessicastockdale/genomicSIs: v1.0.0 Nature Communcations","year":2023,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Resolution (logic); Period (music); High resolution; Natural (archaeology)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002734357,0.002499631,0.002781495,0.004589465,0.00126782,0.005739853,0.006124635,0.002929741,0.4624641],"category_scores_gemma":[0.008448119,0.002652255,0.001969422,0.004936163,0.0007499819,0.002906757,0.004311848,0.003184436,0.5375363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001254756,"about_ca_system_score_gemma":0.002086231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004573897,"about_ca_topic_score_gemma":0.007356139,"domain_scores_codex":[0.9984261,0.0001972533,0.000103608,0.0003168969,0.0007578082,0.0001984628],"domain_scores_gemma":[0.996924,0.0008811613,0.0002304747,0.001142505,0.0004089867,0.0004129128],"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":[0.0001033639,0.00001369108,0.0002479641,0.0004329158,0.00004824585,0.00005691879,0.00005303851,0.0005458799,0.001419809,0.003416171,0.977295,0.01636708],"study_design_scores_gemma":[0.0001986975,0.00002824043,0.0007291289,0.0001259156,0.00003776509,0.0001910411,0.00002107735,0.002559991,0.004495811,0.011346,0.9801829,0.00008346682],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.0008419901,0.0008849073,0.06562971,0.001235662,0.001465856,0.000128882,0.4498697,0.4225689,0.0573744],"genre_scores_gemma":[0.009869715,0.001080318,0.07124878,0.001681282,0.0005260136,0.0009526006,0.5343792,0.3317611,0.04850104],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.4624641,"threshold_uncertainty_score":0.7667297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03306462859708053,"score_gpt":0.261740132222512,"score_spread":0.2286755036254314,"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."}}