{"id":"W4393453032","doi":"10.5281/zenodo.7488424","title":"Sheep pseudoDB: simulated database of sheep genetic variants","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Database; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007394349,0.0002570645,0.0002926724,0.0004266483,0.00190839,0.0008318071,0.006169462,0.0001036153,0.05619041],"category_scores_gemma":[0.000448218,0.0002901112,0.0000741145,0.001348328,0.0001412803,0.000357614,0.007884379,0.000566783,0.002695281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001209528,"about_ca_system_score_gemma":0.0000193709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000138847,"about_ca_topic_score_gemma":3.879265e-7,"domain_scores_codex":[0.9970335,0.0003987854,0.000501685,0.0009069074,0.0007286051,0.0004305145],"domain_scores_gemma":[0.9964614,0.00005918686,0.0003361794,0.002516639,0.0004129103,0.0002136875],"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":[0.000007678279,0.0002292751,5.762608e-8,0.00009265468,0.00004929992,0.00003554472,0.0001092959,0.000268452,0.0001263962,0.0005530652,0.9681315,0.03039676],"study_design_scores_gemma":[0.0003164664,0.0001809467,0.00003514101,0.00003531995,0.00003209431,0.0001048857,0.00002923202,0.01272471,0.00002264693,0.00006749592,0.98617,0.0002810468],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004590766,0.00009652649,0.03103774,0.0001900655,0.000187996,0.0004661572,0.9660698,0.0004420325,0.001463784],"genre_scores_gemma":[0.0001603531,0.000273162,0.006351327,0.0001256716,0.00007754315,1.446146e-7,0.9922532,0.000592223,0.0001663338],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05349512,"threshold_uncertainty_score":0.9999551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03169396252765817,"score_gpt":0.2581963318441544,"score_spread":0.2265023693164962,"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."}}