{"id":"W1996761699","doi":"10.5539/mer.v2n2p114","title":"Surface Grinding Machine Stability Characteristics Limited Prediction","year":2012,"lang":"en","type":"article","venue":"Mechanical Engineering Research","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Flutter; Grinding; Reliability (semiconductor); Stability (learning theory); Process (computing); Limit (mathematics); Surface (topology); Work (physics); Machine tool; Mechanical engineering; Surface grinding; Computer science; Control theory (sociology); Engineering; Mathematics; Artificial intelligence; Machine learning; Mathematical analysis; Geometry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002984566,0.0003364166,0.0003115334,0.0005778887,0.0001868718,0.0003232235,0.0004280019,0.0003809978,0.001612871],"category_scores_gemma":[0.001434802,0.0001733668,0.0003821316,0.000248317,0.000243353,0.0004359766,0.0001897257,0.0003514369,0.0004847278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003977912,"about_ca_system_score_gemma":0.0002982116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003169701,"about_ca_topic_score_gemma":0.001824226,"domain_scores_codex":[0.9997777,0.00002703732,0.000006976175,0.00005813316,0.0001119853,0.00001808787],"domain_scores_gemma":[0.9991172,0.0003480415,0.00007824111,0.0001338781,0.0003000704,0.00002256337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003328001,0.00007099401,0.01157138,0.0001945333,0.00002701725,0.0001809543,0.0002094865,0.7165039,0.1117265,0.002794296,0.00155449,0.1548336],"study_design_scores_gemma":[0.000004641698,0.0000472661,0.003084879,0.000002986292,0.000003560797,0.00002374613,0.000006698588,0.9843609,0.0117305,0.0003890051,0.0003377445,0.000008170015],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.455425,0.0002967107,0.5334291,0.0001023897,0.00002687865,0.00006290576,0.0002089519,0.00222041,0.008227683],"genre_scores_gemma":[0.985689,0.00005112696,0.01290738,0.000006256746,0.000003362381,0.00001996271,0.0001246517,0.0000528229,0.001145252],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003169701,"threshold_uncertainty_score":0.006302536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04985103397181279,"score_gpt":0.2995729208407675,"score_spread":0.2497218868689547,"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."}}