{"id":"W4251549715","doi":"10.5539/ijb.v10n3p67","title":"Reviewer acknowledgements for International Journal of Biology, Vol. 10, No. 3","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; Computational 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":[0.001304998,0.0001475448,0.0002862792,0.0002834081,0.00003717725,0.00003653218,0.001391156,0.0002318477,0.000779564],"category_scores_gemma":[0.02750127,0.000108038,0.0003034039,0.0000527923,0.0004693943,0.00001652603,0.0002844649,0.0001662551,0.0001358883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000561808,"about_ca_system_score_gemma":0.0003142818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001882028,"about_ca_topic_score_gemma":0.000006565909,"domain_scores_codex":[0.9981251,0.00009311662,0.001041767,0.0001486299,0.0003417371,0.0002496577],"domain_scores_gemma":[0.9402083,0.00006664039,0.000844237,0.0001370041,0.05860363,0.0001402031],"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":[0.001379994,0.0002983255,0.003809338,0.00002600099,0.001488849,0.000005224802,0.0000752909,0.000001288122,0.09707483,0.00007929077,0.7637201,0.1320415],"study_design_scores_gemma":[0.001809037,0.003037355,0.0003537679,0.00006902411,0.00002619261,0.00003523711,0.00003396954,0.00006101339,0.02796191,0.0008553218,0.9656444,0.0001128084],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.363297,0.01044142,0.1728908,0.006015704,0.4376653,0.001095004,0.0009224128,0.00001847079,0.007653907],"genre_scores_gemma":[0.7216724,0.01926125,0.0448501,0.005110994,0.1959818,0.00002289507,0.0008183015,0.00008732074,0.01219493],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3583755,"threshold_uncertainty_score":0.9806905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02620368516733327,"score_gpt":0.3691683918441008,"score_spread":0.3429647066767675,"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."}}