{"id":"W4397002069","doi":"10.3390/app14104266","title":"Practical Estimation of Machine Tool Spindle Dynamics for Maintenance Decision Making","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Estimation; Dynamics (music); Engineering; Systems engineering; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004860413,0.0005031828,0.0004579476,0.0003735552,0.0001607148,0.0004833277,0.0003847796,0.0006376119,0.001337743],"category_scores_gemma":[0.00268392,0.0002409262,0.0001547017,0.000190137,0.0001816862,0.0006258604,0.0003227998,0.0003794777,0.0003120542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002101847,"about_ca_system_score_gemma":0.0004461707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009954803,"about_ca_topic_score_gemma":0.001178399,"domain_scores_codex":[0.9997815,0.00006201985,0.0000133764,0.00005501019,0.00007154225,0.00001657519],"domain_scores_gemma":[0.9989114,0.0007720898,0.0001119185,0.00005664581,0.0001188529,0.000029172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004750393,0.000179106,0.01142732,0.0003619741,0.00004227108,0.0002642447,0.0001539225,0.5047356,0.1013332,0.004257708,0.002107145,0.3746624],"study_design_scores_gemma":[0.00001122307,0.00008735932,0.002958136,0.00001246135,0.000005401197,0.00005920601,0.00002641622,0.9883733,0.006684948,0.001177732,0.0005922623,0.00001141879],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06083537,0.0002147944,0.9371763,0.00009934092,0.00001113141,0.00004919936,0.00008992936,0.0003571598,0.001166709],"genre_scores_gemma":[0.8966582,0.0001849043,0.1024443,0.0000230988,0.00001446564,0.00005385264,0.0001163291,0.00001301915,0.0004917636],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001337743,"threshold_uncertainty_score":0.004475176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01444073161683379,"score_gpt":0.320325387161728,"score_spread":0.3058846555448942,"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."}}