{"id":"W2970877041","doi":"","title":"Overview of the TAC 2018 Systematic Review Information Extraction Track.","year":2018,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Topic Modeling","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Track (disk drive); Computer science; Extraction (chemistry); Information extraction; Information retrieval; Chromatography; Operating system; Chemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.0007772617,0.00005232021,0.0001554203,0.00002645686,0.00009331485,0.00001778575,0.00036251,0.00002221573,0.000007017654],"category_scores_gemma":[0.00007169171,0.00003414605,0.000032322,0.0002251545,0.0001310805,0.0004973936,0.00006730083,0.00003548359,0.000008791761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006094943,"about_ca_system_score_gemma":0.00002555878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005457259,"about_ca_topic_score_gemma":9.588026e-7,"domain_scores_codex":[0.9993362,0.00009406481,0.0003371751,0.00006991855,0.0001116508,0.00005103558],"domain_scores_gemma":[0.9988653,0.000109207,0.0003034985,0.0005671592,0.0001408567,0.00001397725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000001108664,0.000007372793,0.000003090534,0.01948017,0.000005954819,2.886662e-9,0.0003773147,0.000001274731,0.0000791214,0.9755255,0.00003802553,0.004481055],"study_design_scores_gemma":[0.0001918375,0.00006625642,0.0003539219,0.01352518,0.000255442,0.00003128461,0.0006010493,0.001752099,0.0189169,0.9579731,0.006095964,0.0002369747],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001180767,0.01179768,0.9838419,0.0003602616,0.00006070884,0.0008009229,0.000003216765,0.00002992356,0.00192464],"genre_scores_gemma":[0.9953443,0.002154881,0.001874174,0.0002895393,0.00003397982,0.0001745433,0.000001860049,0.000002497307,0.000124178],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9941636,"threshold_uncertainty_score":0.1392436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01958233181602287,"score_gpt":0.2827439994522545,"score_spread":0.2631616676362317,"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."}}