{"id":"W4402589638","doi":"10.1101/2024.09.17.613203","title":"PANOMIQ: A Unified Approach to Whole-Genome, Exome, and Microbiome Data Analysis","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Calgary Laboratory Services","funders":"","keywords":"Computational biology; Microbiome; Exome sequencing; Exome; Genome; Biology; Evolutionary biology; Computer science; Genetics; Gene; Mutation","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":[0.01725658,0.003591477,0.002521798,0.008484938,0.002486238,0.007277146,0.004766442,0.001847484,0.01123596],"category_scores_gemma":[0.03013621,0.00284401,0.004273799,0.007259309,0.001551296,0.005205142,0.01099978,0.004994657,0.00425204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001352971,"about_ca_system_score_gemma":0.005786394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004791773,"about_ca_topic_score_gemma":0.006383087,"domain_scores_codex":[0.9928088,0.001667079,0.0009690022,0.001827325,0.002306052,0.0004217214],"domain_scores_gemma":[0.9891902,0.004675125,0.001265508,0.001848495,0.002318862,0.0007017301],"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":[0.002893079,0.0004582155,0.02455981,0.004848345,0.00510292,0.002175743,0.003139806,0.04065272,0.1053566,0.04979602,0.26792,0.4930967],"study_design_scores_gemma":[0.001030413,0.000465712,0.01949069,0.0009009982,0.0006773055,0.001820649,0.0008807849,0.4033399,0.06967614,0.1354589,0.3652426,0.001015838],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004675042,0.0007035506,0.8897986,0.0005546474,0.0002801655,0.0005299899,0.01336897,0.08834387,0.001745142],"genre_scores_gemma":[0.02236262,0.0004657208,0.9441774,0.0005964692,0.0001062094,0.001713266,0.0184325,0.01101353,0.001132273],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01725658,"threshold_uncertainty_score":0.09126264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02251605366046211,"score_gpt":0.2457188339991608,"score_spread":0.2232027803386986,"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."}}