{"id":"W4293580632","doi":"10.5539/ijb.v14n1p77","title":"Reviewer Acknowledgements for International Journal of Biology, Vol. 14, No. 1","year":2022,"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":"Biology; Computational biology; Political 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":[0.04093818,0.00243639,0.006176416,0.008554128,0.004816488,0.009264292,0.005124312,0.01699616,0.09817759],"category_scores_gemma":[0.3995515,0.001643165,0.003922032,0.003950882,0.003186601,0.006427999,0.003784708,0.01265556,0.05910086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004972261,"about_ca_system_score_gemma":0.01069089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00337413,"about_ca_topic_score_gemma":0.005752093,"domain_scores_codex":[0.962231,0.007626525,0.006716855,0.002367071,0.01939589,0.001662579],"domain_scores_gemma":[0.2862374,0.04260667,0.0130288,0.005351328,0.6414381,0.01133766],"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":[0.00002081942,0.000003271925,0.00005560483,0.0002952318,0.00000538822,0.00003471133,0.00002463725,0.000005627286,0.00002115478,0.0000925677,0.997043,0.002398147],"study_design_scores_gemma":[0.0001692421,0.00003726889,0.0008738089,0.002947076,0.00007333969,0.0006934189,0.0003043631,0.0001660334,0.0001861044,0.001399846,0.9930415,0.0001080576],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0001075295,0.002524592,0.0007068282,0.2208572,0.7709916,0.0004883251,0.0007008936,0.0003545947,0.00326851],"genre_scores_gemma":[0.002852778,0.006363714,0.002226011,0.2528062,0.6851407,0.002686817,0.001468345,0.0009319892,0.04552346],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.09817759,"threshold_uncertainty_score":0.3284367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02439388566270539,"score_gpt":0.3557696707559119,"score_spread":0.3313757850932065,"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."}}