{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004588498,0.0009218788,0.001095724,0.008485569,0.001180239,0.004477755,0.003268395,0.003409469,0.05183162],"category_scores_gemma":[0.01978488,0.0004880071,0.001016376,0.007908125,0.001435185,0.006478748,0.002565524,0.004137193,0.03556676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002731086,"about_ca_system_score_gemma":0.00704748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002990053,"about_ca_topic_score_gemma":0.005288245,"domain_scores_codex":[0.9979109,0.0005150982,0.0003029153,0.0002598955,0.0008554852,0.0001556927],"domain_scores_gemma":[0.9870402,0.005722787,0.0008700954,0.0005369646,0.004520822,0.001309182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008923293,0.00004115837,0.0001357608,0.007559034,0.00003718136,0.0001172888,0.00009345182,0.0001558548,0.0002281445,0.01101749,0.4416889,0.5388365],"study_design_scores_gemma":[0.000004384928,0.00001550449,0.0001331132,0.00244878,0.00001293136,0.0001244691,0.0000161139,0.00002220651,0.00006956788,0.0007386118,0.9964076,0.000006737604],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004781176,0.8677865,0.003084206,0.043695,0.01930987,0.0001063361,0.001249195,0.0007267217,0.06356401],"genre_scores_gemma":[0.003545744,0.9021571,0.004597818,0.0356995,0.01059124,0.0003481644,0.003031403,0.0006853846,0.03934368],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.05183162,"threshold_uncertainty_score":0.173394,"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."}}