{"id":"W6926644050","doi":"10.25547/t8dq-k791","title":"Review of Netlytic","year":2021,"lang":"en","type":"article","venue":"Electronic Textual Cultures Lab","topic":"Diphtheria, Corynebacterium, and Tetanus","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"RSS; Set (abstract data type); Cloud computing; Data set; Social network (sociolinguistics); Social media","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001163362,0.0001435949,0.0002090203,0.000009585291,0.00003304949,0.00001251485,0.0001867153,0.00009461584,0.000374193],"category_scores_gemma":[0.0001303881,0.0001217211,0.0001404036,0.0001247206,0.00004795292,0.000003284714,0.00007956323,0.0001124174,0.00002234418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001913101,"about_ca_system_score_gemma":0.000277838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006551329,"about_ca_topic_score_gemma":0.00006828961,"domain_scores_codex":[0.9989985,0.00007574559,0.0002103379,0.0002824455,0.0001120045,0.0003210176],"domain_scores_gemma":[0.9993293,0.000006271769,0.00008248979,0.0003730966,0.0001566797,0.00005219086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004009339,0.0001221636,0.00005302319,0.0008016745,0.0001638852,0.000009474077,0.00004132868,0.00000154966,0.9415131,0.003130974,0.04643492,0.007687882],"study_design_scores_gemma":[0.0002859679,0.0002343999,0.0002118868,0.0002755981,0.00004608191,0.00007504966,0.00004251615,6.709357e-7,0.2449352,0.0001127531,0.7536172,0.0001626226],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2759017,0.6830555,0.000163907,0.0006558473,0.0002010935,0.0002974802,0.00004648414,0.00003933268,0.03963867],"genre_scores_gemma":[0.928674,0.05921294,0.00009317532,0.003116434,0.0002705641,0.00001675618,0.0003985538,0.00002552427,0.008192076],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7071823,"threshold_uncertainty_score":0.4963641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005613831301422929,"score_gpt":0.2558389886329344,"score_spread":0.2502251573315114,"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."}}