{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006477673,0.0003865842,0.0004647286,0.001946027,0.0009191582,0.001910868,0.0008571849,0.0006363989,0.01350953],"category_scores_gemma":[0.004223408,0.0003016349,0.0004443596,0.001239888,0.001174873,0.001108587,0.0008025939,0.000714386,0.000666466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001080406,"about_ca_system_score_gemma":0.0004775146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01041799,"about_ca_topic_score_gemma":0.008970278,"domain_scores_codex":[0.9995551,0.0001095335,0.00001541625,0.00007320407,0.0001711725,0.00007560162],"domain_scores_gemma":[0.9973401,0.001871813,0.0001418113,0.0001886362,0.000368017,0.00008958797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001677598,0.0002248634,0.01578304,0.0006390685,0.0001540819,0.002026892,0.01143897,0.2429044,0.04528813,0.4283184,0.008419319,0.2431253],"study_design_scores_gemma":[0.00003716663,0.0001358169,0.01755813,0.00008352401,0.00008629823,0.0002964456,0.003430085,0.881426,0.02253393,0.06327481,0.01106365,0.00007407627],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5742462,0.001663092,0.374374,0.0004676288,0.0001347068,0.0001179956,0.0005803393,0.001336752,0.04707919],"genre_scores_gemma":[0.9790674,0.0001450892,0.009551217,0.00001252066,0.00001161578,0.00002697233,0.0001093194,0.00009111118,0.01098459],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01350953,"threshold_uncertainty_score":0.04519379,"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."}}