{"id":"W4253966370","doi":"10.5539/ijb.v11n3p55","title":"Reviewer acknowledgements for International Journal of Biology, Vol. 11, No. 3","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; Computational biology; Biology; Political science; Engineering ethics; Computer science; Engineering","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":[0.02661871,0.002275186,0.005313246,0.007369571,0.004470024,0.009734858,0.004803437,0.01735385,0.1260965],"category_scores_gemma":[0.2957416,0.001369223,0.003671105,0.003470966,0.002803029,0.005783095,0.003454487,0.01169437,0.08538572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004274625,"about_ca_system_score_gemma":0.009117367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003507811,"about_ca_topic_score_gemma":0.005785033,"domain_scores_codex":[0.9748436,0.004364741,0.00441764,0.00154155,0.01345129,0.00138128],"domain_scores_gemma":[0.4063224,0.02616274,0.01035646,0.00435175,0.5412056,0.011601],"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":[0.00001657865,0.000002339739,0.00003765151,0.0001780846,0.000003619365,0.00003673024,0.00001386942,0.000004487283,0.00001638205,0.00009026918,0.9973677,0.002232193],"study_design_scores_gemma":[0.0001265822,0.00003035122,0.0006042664,0.002030323,0.00005251553,0.0007900957,0.0002106752,0.0001503394,0.0001629256,0.001418407,0.9943322,0.00009134089],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.00008949019,0.002044897,0.0006761451,0.1903796,0.8010574,0.0003853092,0.0006587558,0.0003792993,0.004329063],"genre_scores_gemma":[0.002643965,0.005691028,0.001810128,0.2149363,0.7091163,0.001776094,0.001420702,0.0008478244,0.06175768],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1260965,"threshold_uncertainty_score":0.4218348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02007905841096554,"score_gpt":0.3517030028049127,"score_spread":0.3316239443939472,"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."}}