{"id":"W4414981254","doi":"10.1007/s12541-025-01339-x","title":"A Preliminary Step Towards Intelligent, Layer-by-Layer Self-Correction of Stringing Defect in Fused Filament Fabrication Using Limited Data","year":2025,"lang":"en","type":"article","venue":"International Journal of Precision Engineering and Manufacturing","topic":"Advanced Surface Polishing Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus","funders":"","keywords":"Nozzle; Fused filament fabrication; Actuator; Classifier (UML); Fabrication; Convolutional neural network; Artificial neural network; Process (computing); Boosting (machine learning)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005320849,0.0001804005,0.0002572586,0.0007672866,0.00002170782,0.00005935192,0.0004916994,0.00009096305,0.000004547892],"category_scores_gemma":[0.0002523664,0.0001880766,0.00006512719,0.0001362773,0.000009427929,0.0005757366,0.0002436508,0.0003485577,2.269055e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003548484,"about_ca_system_score_gemma":0.00002754829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004145037,"about_ca_topic_score_gemma":0.000002676715,"domain_scores_codex":[0.9986454,0.00002672909,0.0006492779,0.0001835512,0.0003152014,0.0001799029],"domain_scores_gemma":[0.9991882,0.0002270251,0.0001836866,0.0002297669,0.0001223423,0.0000489093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007504098,0.00005475521,0.0005045354,0.00008844224,0.0001940989,0.000009336753,0.0002501848,0.8568757,0.0463076,0.000009367198,0.0003456025,0.09528533],"study_design_scores_gemma":[0.0003228384,0.00003771976,0.002575535,0.0009096858,0.00003285244,0.00002432872,0.00005994424,0.5947614,0.3991786,0.00005551217,0.001907926,0.0001336192],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5181666,0.000646724,0.4799697,0.00001902209,0.0009644402,0.00008972342,0.00001065359,0.00009153983,0.00004156243],"genre_scores_gemma":[0.9602345,0.0006292722,0.03901928,0.000007029525,0.00006031556,0.00000295258,0.00001131166,0.00002493102,0.0000104161],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4420679,"threshold_uncertainty_score":0.7669539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02341453215752631,"score_gpt":0.2934334669559664,"score_spread":0.2700189347984401,"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."}}