{"id":"W4416611963","doi":"10.5256/f1000research.2230.r1638","title":"Referee report. For: An a posteriori measure of network modularity [v2; indexed, http://f1000r.es/1py]","year":2013,"lang":"en","type":"article","venue":"Faculty of 1000 Research Ltd","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Measure (data warehouse); Modularity (biology); A priori and a posteriori; Key (lock)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004349044,0.001812065,0.001793293,0.005892538,0.001625882,0.00185927,0.003005669,0.002176656,0.7149724],"category_scores_gemma":[0.07174367,0.0006484449,0.001725252,0.006053909,0.0005275958,0.002920181,0.002914729,0.002070387,0.2795151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002404429,"about_ca_system_score_gemma":0.002012208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02346268,"about_ca_topic_score_gemma":0.02645798,"domain_scores_codex":[0.9977054,0.0005780173,0.0002404585,0.0004168847,0.0009068425,0.0001522987],"domain_scores_gemma":[0.9662609,0.01041998,0.0006505099,0.003556312,0.01804922,0.001063167],"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":[0.00002669297,0.00002080635,0.00008984321,0.0001250041,0.00001926653,0.00004908871,0.00002048327,0.0001434638,0.0002207346,0.00173691,0.9862654,0.01128238],"study_design_scores_gemma":[0.0002368699,0.00004428281,0.00293532,0.0003239418,0.00009764455,0.0004445563,0.0001196158,0.003518513,0.001621686,0.04183737,0.9486392,0.0001810327],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.002603313,0.008310606,0.1590537,0.09804007,0.1814059,0.001262404,0.3852879,0.01761588,0.1464202],"genre_scores_gemma":[0.05720137,0.008065157,0.1230972,0.02608434,0.05168815,0.002987701,0.2297135,0.01753826,0.4836243],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7149724,"threshold_uncertainty_score":0.4065572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04599083693411176,"score_gpt":0.3375040753521685,"score_spread":0.2915132384180568,"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."}}