{"id":"W4237907061","doi":"10.5539/jmbr.v9n1p179","title":"Reviewer Acknowledgements for Journal of Molecular Biology Research, Vol. 9, No. 1","year":2019,"lang":"en","type":"article","venue":"Journal of Molecular Biology Research","topic":"14-3-3 protein interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Computational biology; Biology; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03506854,0.0021861,0.005222763,0.007845549,0.004472935,0.008588753,0.004747313,0.01769534,0.09928951],"category_scores_gemma":[0.3556803,0.001436877,0.003547366,0.003474804,0.002520894,0.005527875,0.00309866,0.01142554,0.06411171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005084005,"about_ca_system_score_gemma":0.009872041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003502561,"about_ca_topic_score_gemma":0.005883849,"domain_scores_codex":[0.965651,0.006496984,0.006435502,0.002184154,0.01758288,0.00164964],"domain_scores_gemma":[0.3053337,0.0335638,0.01234623,0.005172708,0.6327891,0.01079439],"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":[0.00002643921,0.000003229336,0.00005502553,0.0002386039,0.000005097396,0.00004854763,0.00001958164,0.000005306644,0.0000296166,0.0001021959,0.996995,0.002471318],"study_design_scores_gemma":[0.0001469978,0.00004071352,0.0008622452,0.002290064,0.00005969639,0.0008067369,0.0002403545,0.000166343,0.0002186788,0.00125349,0.9938121,0.0001024889],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0001038432,0.002216021,0.0006563694,0.2033818,0.7890019,0.000370187,0.0006038595,0.0003156787,0.003350302],"genre_scores_gemma":[0.003394415,0.006470867,0.002479876,0.2348173,0.690791,0.001688298,0.001411609,0.0008592248,0.05808757],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.09928951,"threshold_uncertainty_score":0.3321565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05901831067587515,"score_gpt":0.4623240566079196,"score_spread":0.4033057459320445,"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."}}