{"id":"W7098316374","doi":"","title":"Manufacturing Using Multivariate Analysis","year":2016,"lang":"en","type":"article","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Machining; Process (computing); Multivariate statistics; Focus (optics); Principal component analysis; Multivariate analysis; Quality (philosophy); Process control; Instrumentation (computer programming); Port (circuit theory)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002640723,0.001305842,0.001003497,0.004711343,0.0006835884,0.003394008,0.0008310244,0.000669876,0.012587],"category_scores_gemma":[0.007870441,0.0004490791,0.00214756,0.004593931,0.0006680606,0.001955235,0.002529408,0.001334742,0.003941712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006648299,"about_ca_system_score_gemma":0.001215943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003718807,"about_ca_topic_score_gemma":0.002720447,"domain_scores_codex":[0.9969506,0.001198578,0.0002213671,0.0005559668,0.0009363179,0.0001371064],"domain_scores_gemma":[0.9966438,0.001318574,0.0003620077,0.0009288893,0.000662432,0.00008424529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001086746,0.0001435768,0.006679916,0.0005054882,0.0004752128,0.0002895009,0.0003523026,0.07693114,0.005459726,0.1105969,0.01093845,0.7875191],"study_design_scores_gemma":[0.00004161426,0.0001778503,0.01055792,0.0002124094,0.0001708171,0.0004124667,0.0002850893,0.7418517,0.005872608,0.1580043,0.08225501,0.0001583252],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002114258,0.0003302086,0.9913443,0.0001405363,0.00005944716,0.00007883833,0.0005214085,0.001986214,0.003424707],"genre_scores_gemma":[0.1657237,0.001713531,0.8231308,0.0001648551,0.0002441178,0.0003858769,0.002351562,0.0005205289,0.005765115],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.012587,"threshold_uncertainty_score":0.04210776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06749392393807443,"score_gpt":0.2280933064208168,"score_spread":0.1605993824827423,"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."}}