{"id":"W25601762","doi":"10.1038/tpj.2014.83","title":"Improvement of track zero to increase read/write area in hard disk drive assembly process","year":2013,"lang":"en","type":"article","venue":"Uncertain Supply Chain Management","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Heart, Lung, and Blood Institute; U.S. Public Health Service","keywords":"Track (disk drive); Computer science; Zero (linguistics); Process (computing); Hard disk drive performance characteristics; Simulation; Computer hardware; Operating system","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":[0.0007544057,0.0007901746,0.0006987769,0.001038462,0.0008289097,0.001930277,0.002835041,0.0007076157,0.0155696],"category_scores_gemma":[0.004450032,0.0003820806,0.0004960116,0.000957159,0.0004448271,0.002901612,0.001407049,0.0007487476,0.006873855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008115922,"about_ca_system_score_gemma":0.0009688825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001777581,"about_ca_topic_score_gemma":0.002229816,"domain_scores_codex":[0.9989321,0.00009718465,0.00008651566,0.0003019359,0.0004456817,0.0001365227],"domain_scores_gemma":[0.997052,0.0007885193,0.0003674731,0.0007424969,0.000892461,0.0001570175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001404604,0.0007131561,0.01499112,0.001122975,0.0001002576,0.000405271,0.0005489369,0.02326679,0.2342082,0.01303713,0.02877025,0.6814313],"study_design_scores_gemma":[0.0002110625,0.002160339,0.01487578,0.0001511704,0.0002576077,0.001165182,0.0005788903,0.2791652,0.5923351,0.01096063,0.09793881,0.0002001626],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3855104,0.01059034,0.508568,0.002226889,0.001641165,0.0005581737,0.002474934,0.05963231,0.02879778],"genre_scores_gemma":[0.7882667,0.001095271,0.1874936,0.0005981246,0.0001806933,0.0003741721,0.001645526,0.001318697,0.01902724],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0155696,"threshold_uncertainty_score":0.05208552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00789596401584506,"score_gpt":0.2136001179500739,"score_spread":0.2057041539342288,"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."}}