{"id":"W2565664799","doi":"10.12913/22998624/60793","title":"DIAGNOSTIC OF CNC LATHE WITH QC 20 BALLBAR SYSTEM","year":2015,"lang":"en","type":"article","venue":"Advances in Science and Technology – Research Journal","topic":"Advanced Measurement and Metrology Techniques","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Grind; Engineering drawing; Identification (biology); Mechanical engineering; Engineering; Computer science; Manufacturing engineering; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003689016,0.00009434122,0.0001875884,0.001331702,0.0001434586,0.00002249346,0.0005171613,0.00008922073,0.000001510826],"category_scores_gemma":[0.001532572,0.00006802635,0.000007941339,0.002315374,0.002179902,0.0007230018,0.00009133654,0.0007302382,0.000001910488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002111136,"about_ca_system_score_gemma":0.0002277511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000153366,"about_ca_topic_score_gemma":0.00002871554,"domain_scores_codex":[0.9982926,0.00003784091,0.0002121976,0.0001803552,0.0007559921,0.0005210551],"domain_scores_gemma":[0.9986069,0.0001517492,0.00004670238,0.0001974186,0.0008624161,0.000134787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001920244,0.0001803444,0.5661143,0.0003335308,0.00005156653,0.0008833499,0.0007931111,0.008046941,0.092089,0.06535669,0.00102918,0.2649299],"study_design_scores_gemma":[0.008787383,0.009387793,0.008259661,0.004235977,0.00006270367,0.006802479,0.03440898,0.01582533,0.5533531,0.2172845,0.1398108,0.001781289],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9295833,0.03589276,0.01945215,0.0007340773,0.0003181648,0.0004743754,0.000002386224,0.0003981556,0.01314464],"genre_scores_gemma":[0.9899109,0.003607586,0.006404963,0.000003616483,0.00002473468,0.00002752365,1.206132e-7,0.000008635321,0.00001193153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5578547,"threshold_uncertainty_score":0.8031938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03714391390803454,"score_gpt":0.3481726463474273,"score_spread":0.3110287324393928,"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."}}