{"id":"W4234971200","doi":"10.5539/ijb.v12n1p55","title":"Reviewer acknowledgements for International Journal of Biology, Vol. 12, No. 1","year":2019,"lang":"en","type":"article","venue":"International Journal of Biology","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Biology; Computational 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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03619917,0.002337496,0.005774358,0.008169135,0.00467981,0.009360505,0.004871586,0.01675538,0.1108079],"category_scores_gemma":[0.3670179,0.001533745,0.003642027,0.003961988,0.002947607,0.006325543,0.003654518,0.01215431,0.06888503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004630786,"about_ca_system_score_gemma":0.01012391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003621438,"about_ca_topic_score_gemma":0.006234641,"domain_scores_codex":[0.9682648,0.006067607,0.005509739,0.001989108,0.01666159,0.001507161],"domain_scores_gemma":[0.3275956,0.03676531,0.01178988,0.005037842,0.6072856,0.01152572],"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":[0.00001758179,0.000002701027,0.00004291861,0.0002323823,0.000004024687,0.00002993086,0.00001885929,0.000004581728,0.0000179532,0.00008700527,0.9972761,0.002265862],"study_design_scores_gemma":[0.0001364637,0.00003222441,0.0007360805,0.002448494,0.0000579535,0.0006140876,0.0002469936,0.0001386889,0.0001536972,0.001217734,0.994126,0.00009173263],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00009024495,0.002401927,0.0006485379,0.2069098,0.7848025,0.0004210682,0.0007124683,0.0003428938,0.00367046],"genre_scores_gemma":[0.002516118,0.00633734,0.001982061,0.2418109,0.6885902,0.002286988,0.001486088,0.0008726678,0.05411765],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.9638008,"threshold_uncertainty_score":0.3706895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02151038969358763,"score_gpt":0.3505487668675041,"score_spread":0.3290383771739164,"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."}}