{"id":"W2195461057","doi":"10.1186/s13104-015-1682-y","title":"LASER: Large genome ASsembly EvaluatoR","year":2015,"lang":"en","type":"article","venue":"BMC Research Notes","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Compute Canada","keywords":"Genome; Computational biology; Computer science; Data science; Biology; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003310375,0.001632233,0.0007386228,0.00179492,0.0009606476,0.001601615,0.002199042,0.0008737535,0.02866916],"category_scores_gemma":[0.006462555,0.0009080158,0.001300603,0.001286506,0.0006684376,0.001904803,0.001920112,0.001773859,0.01462258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008280555,"about_ca_system_score_gemma":0.001160674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001176459,"about_ca_topic_score_gemma":0.00104913,"domain_scores_codex":[0.9980559,0.0003905531,0.0001850156,0.0005600353,0.0006597019,0.0001487161],"domain_scores_gemma":[0.9965887,0.001342973,0.0004239572,0.0005181411,0.0009596468,0.0001665032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00268298,0.0003012806,0.01161314,0.002467402,0.0004803126,0.0008691815,0.0009782236,0.01203859,0.1352492,0.009522919,0.3899676,0.4338293],"study_design_scores_gemma":[0.0008935325,0.001007333,0.01765797,0.0004216971,0.0003333715,0.002274162,0.0003295236,0.2917792,0.3457011,0.01234067,0.3266776,0.0005838014],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01372298,0.0005420404,0.4977164,0.0003660536,0.0002018842,0.0005200378,0.009741894,0.4712154,0.005973341],"genre_scores_gemma":[0.07425601,0.0004041912,0.8327644,0.0005909349,0.0001356242,0.001801888,0.02722953,0.05560422,0.007213063],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02866916,"threshold_uncertainty_score":0.09590787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1804935317699322,"score_gpt":0.4153151667692032,"score_spread":0.2348216349992711,"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."}}