{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001690204,0.0001373699,0.0002843278,0.0003203987,0.00006262271,0.00002840376,0.001620027,0.0001325653,0.0007116896],"category_scores_gemma":[0.02075315,0.0001091707,0.0003494534,0.0000616999,0.0002094528,0.00001291115,0.0005616501,0.0002953027,0.00002443375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009902022,"about_ca_system_score_gemma":0.0003687963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002133215,"about_ca_topic_score_gemma":0.000003158374,"domain_scores_codex":[0.9979396,0.0001569915,0.001042809,0.0001477009,0.00047454,0.0002383215],"domain_scores_gemma":[0.9640592,0.00007654811,0.000932193,0.0001313734,0.03467729,0.0001233809],"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":[0.001476016,0.0005126417,0.005782864,0.00002955914,0.001762551,0.00001395699,0.0001058033,0.00003435547,0.07684381,0.0001115428,0.8004381,0.1128888],"study_design_scores_gemma":[0.002010199,0.00245082,0.0002640293,0.00002646547,0.00002590642,0.00006901378,0.00008516687,0.00007561463,0.006945223,0.0009154034,0.987018,0.0001141362],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.3438432,0.01803408,0.09084492,0.007996039,0.5330501,0.001234751,0.001986877,0.00001666659,0.002993327],"genre_scores_gemma":[0.8680255,0.01962097,0.02462605,0.006739192,0.0711723,0.00007104733,0.001552753,0.00008995105,0.008102191],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5241823,"threshold_uncertainty_score":0.9874955,"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."}}