{"id":"W6912728974","doi":"10.5281/zenodo.7884290","title":"bcgsc/goldrush: 1.0.2","year":2022,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre","funders":"","keywords":"Error detection and correction; Documentation; Mode (computer interface); Error analysis; Process (computing)","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":[0.004006631,0.00408493,0.002530497,0.003615529,0.001972198,0.003562016,0.005431916,0.003276584,0.1953913],"category_scores_gemma":[0.01739324,0.004107377,0.002037221,0.00203176,0.001094536,0.004263801,0.00398627,0.003652374,0.2870182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001529944,"about_ca_system_score_gemma":0.002419735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004437086,"about_ca_topic_score_gemma":0.004893073,"domain_scores_codex":[0.9968889,0.0003817979,0.0003742526,0.0009660431,0.001061697,0.0003273551],"domain_scores_gemma":[0.991919,0.002005847,0.0006359626,0.002866186,0.002108307,0.0004647175],"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":[0.000849577,0.00008091486,0.002151857,0.001517738,0.0000921564,0.0002047198,0.000347693,0.0005916011,0.01342877,0.001751129,0.9319624,0.04702145],"study_design_scores_gemma":[0.0004544571,0.0002249115,0.00649616,0.0007574068,0.0001590909,0.0009861155,0.0001835254,0.008697931,0.1340625,0.009047224,0.8384446,0.0004860128],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.002287602,0.0002426279,0.04319584,0.000349925,0.000364205,0.0002377839,0.06761945,0.872865,0.0128376],"genre_scores_gemma":[0.01660926,0.0002751551,0.09914625,0.001112519,0.0001588782,0.0009085116,0.1727906,0.6739402,0.03505863],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.1953913,"threshold_uncertainty_score":0.653649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03353899714429955,"score_gpt":0.245749808406611,"score_spread":0.2122108112623114,"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."}}