{"id":"W2937829413","doi":"","title":"Chatter analysis of machine tool systems in turning processes","year":2001,"lang":"en","type":"other","venue":"TSpace","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Machine tool; Computer science; Control engineering; Engineering; Mechanical engineering","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001018976,0.0001465812,0.0004536416,0.000637766,0.0000302005,0.00007663284,0.000105604,0.00006915678,0.02581489],"category_scores_gemma":[0.00001968336,0.0001214232,0.00006880204,0.0002106093,0.00006067571,0.00002937518,0.00002358527,0.0001079061,0.00004053212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000217147,"about_ca_system_score_gemma":0.00002843993,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02959839,"about_ca_topic_score_gemma":0.1578386,"domain_scores_codex":[0.9993192,0.00003654829,0.0001903404,0.0001681577,0.0001496465,0.0001361359],"domain_scores_gemma":[0.9995276,0.00002482046,0.0002125526,0.0001603036,0.00005630343,0.00001841913],"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":[0.00003234851,0.0005860816,0.06205336,0.005250252,0.006639052,0.0001052663,0.09258804,0.0005138087,0.0001440349,0.02820663,0.802492,0.001389132],"study_design_scores_gemma":[0.0001083676,0.00001550508,0.0003514302,0.000251655,0.0002893058,2.334182e-7,0.001439645,0.0001814088,0.000007745021,0.000009198451,0.997174,0.0001714643],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01004853,0.003297168,0.00001877226,0.00007606079,0.0002647008,0.0002087566,0.00008599314,0.0000541435,0.9859459],"genre_scores_gemma":[0.1010253,0.0002227533,0.000002913371,0.00003023242,0.0002611105,0.00001321575,0.00004530529,0.00007751871,0.8983216],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.194682,"threshold_uncertainty_score":0.9768636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0280263497868573,"score_gpt":0.2866339626685986,"score_spread":0.2586076128817413,"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."}}