{"id":"W4386804094","doi":"10.23977/acss.2023.070613","title":"Design of Data Acquisition System for Clothing Production Line","year":2023,"lang":"en","type":"article","venue":"Advances in Computer Signals and Systems","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Production line; Clothing; Computer science; Default gateway; Data acquisition; Node (physics); Embedded system; Production (economics); Software; Computer hardware; Engineering; Computer network; 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":[0.0004584523,0.000517884,0.0005713176,0.00108897,0.0006605661,0.001144916,0.00112714,0.0005647073,0.006040592],"category_scores_gemma":[0.00075474,0.0004033912,0.0002452974,0.0006698355,0.0002329201,0.001109712,0.0006339801,0.0004127647,0.002259212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003966348,"about_ca_system_score_gemma":0.0007514578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001208359,"about_ca_topic_score_gemma":0.0005088608,"domain_scores_codex":[0.9990562,0.0001068567,0.0000896682,0.0003196351,0.0003443935,0.00008323949],"domain_scores_gemma":[0.9994704,0.00007455536,0.00004157247,0.00005938031,0.0003125652,0.00004154414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001215019,0.0003780861,0.01673194,0.001089332,0.000171688,0.001558191,0.001495735,0.01314089,0.3165523,0.01188979,0.03048834,0.6052887],"study_design_scores_gemma":[0.0006703046,0.002090415,0.01949367,0.0002552025,0.0003937451,0.005974916,0.0006103941,0.3579794,0.3999104,0.003962949,0.2082956,0.0003630035],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04982189,0.0005328491,0.9226615,0.0004415216,0.0003413271,0.001007025,0.0004692324,0.01280044,0.01192414],"genre_scores_gemma":[0.6924107,0.0006160871,0.2800616,0.0007710382,0.0003078347,0.001620464,0.001587006,0.0002875603,0.02233768],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006040592,"threshold_uncertainty_score":0.02020782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08505520813979987,"score_gpt":0.3084430417019473,"score_spread":0.2233878335621474,"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."}}