{"id":"W4411656759","doi":"10.51847/xz17igjvgz","title":"10.51847/xZ17iGjvGz","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Automatic summarization; Cluster analysis; Computer science; Data mining; Artificial intelligence; Algorithm","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001198937,0.0001201045,0.000151837,0.0001060581,0.00006712861,0.00007902843,0.0009173952,0.00003995658,0.9214045],"category_scores_gemma":[0.00001797803,0.0001169641,0.00006893698,0.0005652439,0.00002053377,0.0003591641,0.0001375129,0.00007474923,0.9604621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003603414,"about_ca_system_score_gemma":0.000016034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007665107,"about_ca_topic_score_gemma":1.026524e-7,"domain_scores_codex":[0.9990309,0.00002767062,0.0001566376,0.0003293167,0.0002062171,0.000249246],"domain_scores_gemma":[0.9990467,0.00003344663,0.00002788318,0.0007299144,0.00004404806,0.0001180246],"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":[0.000003146054,0.00002023379,1.050223e-7,7.129474e-7,0.000006489912,0.000005450872,0.00001006937,0.00008331202,0.000123579,0.00007692863,0.0134455,0.9862245],"study_design_scores_gemma":[0.00005057449,0.00006379283,0.00001377997,0.000005748253,0.000004670806,0.0000050829,8.068489e-8,0.004582961,0.0004763668,0.0001644159,0.994476,0.00015648],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00006963736,0.00003122738,0.0145764,0.0004513253,0.000001208498,0.0001075218,0.000001027838,0.0008836186,0.983878],"genre_scores_gemma":[0.0003276815,4.176709e-7,0.04993128,0.0001685063,0.00003867264,0.00001719613,0.000001738257,0.00001070477,0.9495038],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.986068,"threshold_uncertainty_score":0.4769656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005534351542979675,"score_gpt":0.2057611130604097,"score_spread":0.20022676151743,"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."}}