{"id":"W2033603176","doi":"10.5539/mas.v3n11p75","title":"Alteration of the Let-off and Take-up Machine of Loom SAURER 400","year":2009,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Industrial Automation and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"LOOM; Computer science; Object (grammar); Industrial engineering; Artificial intelligence; Engineering","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":[0.000328714,0.0003500941,0.0002724807,0.0003015429,0.000380028,0.0004825371,0.0006000334,0.0005076627,0.001991651],"category_scores_gemma":[0.0005887895,0.000182193,0.0003942543,0.00017266,0.0004447482,0.0006018147,0.0002737271,0.0003682383,0.0003490351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004684147,"about_ca_system_score_gemma":0.000315292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009594483,"about_ca_topic_score_gemma":0.0007823928,"domain_scores_codex":[0.9994676,0.00007651454,0.00002374437,0.00009833941,0.0002853981,0.00004854639],"domain_scores_gemma":[0.9997742,0.00003818277,0.00004122621,0.0000649457,0.00006550615,0.00001596749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002337475,0.000131396,0.01197872,0.0006809202,0.00008143934,0.002044057,0.001086881,0.02514001,0.7488235,0.01338856,0.003490015,0.1908172],"study_design_scores_gemma":[0.0002918944,0.004960523,0.06931534,0.0001012015,0.0003420835,0.004756732,0.0007482751,0.2311761,0.5797371,0.004801063,0.1034579,0.0003117312],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7775069,0.0006690837,0.1933841,0.0005714659,0.0003099382,0.000265653,0.000132739,0.001963325,0.02519683],"genre_scores_gemma":[0.9757613,0.00009187037,0.018393,0.0000510914,0.00002807256,0.00002435086,0.00007264142,0.00004145834,0.005536235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001991651,"threshold_uncertainty_score":0.006662786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006808182094244066,"score_gpt":0.1873402095117847,"score_spread":0.1805320274175407,"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."}}