{"id":"W6987236146","doi":"","title":"Spark Assisted Chemical Engraving: A Novel Approach for Quantifying the Machining Zone Parameters Using Drilling Forces","year":2014,"lang":"en","type":"dissertation","venue":"Spectrum Research Repository (Concordia University)","topic":"Advanced Surface Polishing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Machining; Work (physics); Process (computing); Abrasive machining","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001116958,0.0005589577,0.0006928464,0.0009216594,0.001116298,0.0003986075,0.001343949,0.0006098408,0.000002078428],"category_scores_gemma":[0.0002994292,0.0005702457,0.000393551,0.0009529067,0.0002632777,0.0003917474,0.0001642707,0.002164493,0.000001269394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001186148,"about_ca_system_score_gemma":0.0002427512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0033054,"about_ca_topic_score_gemma":0.001238336,"domain_scores_codex":[0.9964581,0.0002589285,0.0004637537,0.0008474181,0.000755623,0.001216134],"domain_scores_gemma":[0.9973546,0.001076184,0.0002491798,0.0008262787,0.000247853,0.0002458867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001066504,0.0001759382,0.003331611,0.003110155,0.001382987,0.0001227035,0.002594508,0.08813055,0.8907316,0.00605285,0.0006097976,0.00269082],"study_design_scores_gemma":[0.001297417,0.000203884,0.001025812,0.001044182,0.0004245352,0.00007269537,0.006606014,0.5680568,0.4104791,0.0004739376,0.008411089,0.001904526],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.697849,0.0002455121,0.2877433,0.00002150005,0.0007125817,0.001248461,0.00002572153,0.0008490114,0.01130481],"genre_scores_gemma":[0.9579849,0.00004856006,0.03957191,0.000003720969,0.0003258032,0.00002698843,0.0002329667,0.0002249209,0.001580269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4802525,"threshold_uncertainty_score":0.9996749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08255948064000286,"score_gpt":0.3173747817124579,"score_spread":0.234815301072455,"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."}}