{"id":"W4236060758","doi":"10.3410/f.717991595.793473423","title":"Faculty Opinions recommendation of Using the topology of metabolic networks to predict viability of mutant strains.","year":2013,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Mutant; Process (computing); Topology (electrical circuits); Computer science; Computational biology; Biology; Data mining; Genetics; Mathematics; Gene; Combinatorics; Programming language","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001223285,0.002845325,0.001629603,0.003464138,0.0006715776,0.002517725,0.003267828,0.003423459,0.03463252],"category_scores_gemma":[0.006775381,0.0008358016,0.002193183,0.003956352,0.0003476695,0.001546788,0.001746728,0.001810675,0.04022553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001355809,"about_ca_system_score_gemma":0.002409618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02636264,"about_ca_topic_score_gemma":0.06918272,"domain_scores_codex":[0.9990144,0.0001235679,0.00009557702,0.0003555266,0.0002909334,0.0001199428],"domain_scores_gemma":[0.9974791,0.0006948868,0.000312457,0.0006703229,0.000474226,0.0003689009],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002377036,0.00008579974,0.005394407,0.001499543,0.0002016561,0.00006481028,0.0000203788,0.001362271,0.0005430438,0.0004328247,0.9835809,0.0065765],"study_design_scores_gemma":[0.001094187,0.0001182402,0.02473117,0.0007349082,0.0003540803,0.0002882276,0.00007965239,0.009317443,0.00252074,0.00359826,0.957042,0.0001211082],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005131045,0.0001483871,0.0001560334,0.00009634859,0.00003788436,0.00001441136,0.9975006,0.0009439601,0.0005892402],"genre_scores_gemma":[0.001252699,0.0001016727,0.0006060547,0.00006185284,0.000008398347,0.00004372442,0.9973519,0.00007091802,0.0005027565],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9987767,"threshold_uncertainty_score":0.1158572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02188465678873795,"score_gpt":0.3215127405270748,"score_spread":0.2996280837383368,"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."}}