{"id":"W4256053353","doi":"10.5539/ijb.v11n1p92","title":"Reviewer acknowledgements for International Journal of Biology, Vol. 11, No. 1","year":2018,"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; Political science; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001301656,0.0001485826,0.0002892487,0.0002867565,0.00003767452,0.00003682246,0.001398929,0.0002317714,0.0003860807],"category_scores_gemma":[0.02499539,0.0001088113,0.0003055407,0.00005338895,0.0004735675,0.00001677563,0.0002855832,0.0001608092,0.00007436768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005583409,"about_ca_system_score_gemma":0.0003094344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002816653,"about_ca_topic_score_gemma":0.00001400232,"domain_scores_codex":[0.998109,0.00009372638,0.001050157,0.0001495524,0.0003442031,0.0002533665],"domain_scores_gemma":[0.9444802,0.00006740636,0.0008512247,0.0001381331,0.05432054,0.0001425417],"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":[0.0011742,0.000374532,0.01175737,0.00003313623,0.001606702,0.000006958974,0.0001028607,0.000001687443,0.1400461,0.0001353171,0.7267208,0.1180404],"study_design_scores_gemma":[0.001830812,0.002465435,0.0005188897,0.00007378712,0.00002722378,0.00004098296,0.00003998155,0.00006108156,0.03487674,0.0009166892,0.9590318,0.0001166302],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4758095,0.00681355,0.1507091,0.005137128,0.3570628,0.0008218343,0.0006740032,0.00001357918,0.002958496],"genre_scores_gemma":[0.8042836,0.01389035,0.03448344,0.004152936,0.1389041,0.00001642953,0.0005294835,0.00006182818,0.00367786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.328474,"threshold_uncertainty_score":0.9832175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02591902236250267,"score_gpt":0.3682556157152866,"score_spread":0.342336593352784,"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."}}