{"id":"W4393412842","doi":"10.5281/zenodo.7488425","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001080845,0.001036496,0.0008662558,0.00149896,0.0003917874,0.0008822759,0.002186808,0.001508491,0.008166288],"category_scores_gemma":[0.004923475,0.0003662581,0.000883409,0.002005856,0.0003214801,0.0004413423,0.0008214911,0.001098601,0.005526618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006355179,"about_ca_system_score_gemma":0.001214389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008301289,"about_ca_topic_score_gemma":0.0134823,"domain_scores_codex":[0.9994035,0.0001518424,0.00006724679,0.0001716324,0.0001499259,0.00005594501],"domain_scores_gemma":[0.9984682,0.0006242765,0.00009025398,0.0004007596,0.0002494384,0.0001670599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001928094,0.0004794053,0.02689636,0.001544244,0.0004950102,0.0007724665,0.0000935632,0.01435641,0.002724359,0.002334516,0.9265962,0.02177925],"study_design_scores_gemma":[0.004027678,0.0007216584,0.06612567,0.0006274849,0.0005264974,0.004244951,0.0004812185,0.06119182,0.008943531,0.01110835,0.8418393,0.0001618603],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01913724,0.0004941148,0.001819922,0.0003555863,0.0001221416,0.00008084258,0.9752362,0.001169026,0.001584989],"genre_scores_gemma":[0.01346725,0.0001182079,0.002185333,0.0001298898,0.00001047782,0.0001324678,0.983297,0.00004951202,0.0006099414],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.008301289,"threshold_uncertainty_score":0.02731895,"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."}}