{"id":"W2314608762","doi":"10.2524/jtappij.55.1241","title":"Optimized PM Control with QCM","year":2001,"lang":"en","type":"article","venue":"JAPAN TAPPI JOURNAL","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Ethernet; Control system; Embedded system; Engineering; Control (management); Computer science; Automotive engineering; Electrical engineering; Computer hardware; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005003452,0.0004568985,0.000430862,0.0002698067,0.0002852934,0.0008665609,0.0007713436,0.0003617109,0.002617307],"category_scores_gemma":[0.0009088516,0.0001977071,0.0001738091,0.0003478274,0.0004206745,0.0003873203,0.0004049396,0.0004225005,0.0005478269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009712767,"about_ca_system_score_gemma":0.0005802867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003851512,"about_ca_topic_score_gemma":0.003825757,"domain_scores_codex":[0.9994097,0.0000692517,0.00002004706,0.0001573547,0.0002948132,0.00004879478],"domain_scores_gemma":[0.9996432,0.0001287274,0.0000469591,0.00005413404,0.0001137459,0.00001312663],"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":[0.0009478975,0.0002467304,0.001787015,0.0006561071,0.00005727746,0.0001192791,0.0002147826,0.2221086,0.4326529,0.02509275,0.01008496,0.3060318],"study_design_scores_gemma":[0.0001086761,0.0002269491,0.00120343,0.00001984941,0.00001832755,0.00004262381,0.00002377563,0.8244352,0.1551462,0.002435901,0.01629738,0.00004166582],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08734825,0.0009944247,0.8759176,0.0003632198,0.0002834686,0.0002254377,0.0002906842,0.003041021,0.03153576],"genre_scores_gemma":[0.8822029,0.0002179613,0.1094756,0.0001098932,0.00004266843,0.0001329424,0.000160531,0.0001715306,0.007485845],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003851512,"threshold_uncertainty_score":0.008755744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009655156493075924,"score_gpt":0.243118194940544,"score_spread":0.2334630384474681,"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."}}