{"id":"W4245282595","doi":"10.32920/ryerson.14635710","title":"Digital Control for Fatigue Testing Machine Applied to Additively Manufactured Thermoplastics","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Sensor Technology and Measurement Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Microcontroller; Load cell; Computer science; Automotive engineering; Engineering; Computer hardware; Structural engineering","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":[0.0003622556,0.0004285221,0.0002187371,0.0004399211,0.0002375404,0.0003612426,0.000620088,0.0002573245,0.006647433],"category_scores_gemma":[0.0009696392,0.0001336507,0.0001067937,0.0001991742,0.0002060714,0.0002227657,0.0001690815,0.0002591264,0.0007094165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003321261,"about_ca_system_score_gemma":0.0002576736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007059766,"about_ca_topic_score_gemma":0.0009629091,"domain_scores_codex":[0.9995473,0.00006197599,0.00002901212,0.0001212704,0.0002029993,0.00003746675],"domain_scores_gemma":[0.9995535,0.0001317517,0.00004433981,0.00006397384,0.0001891632,0.00001723127],"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":[0.0007876165,0.0001820666,0.001941839,0.0006253627,0.00003131833,0.0002708581,0.0004371285,0.009641,0.6831928,0.005297562,0.004338806,0.2932536],"study_design_scores_gemma":[0.0002863496,0.002983666,0.01261069,0.0001394175,0.0001519224,0.001129662,0.00008288072,0.2738013,0.6478624,0.001665548,0.05920311,0.00008292009],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1903222,0.0007192934,0.7794492,0.0002740418,0.0003925086,0.0008323878,0.0004861319,0.01119367,0.01633049],"genre_scores_gemma":[0.920834,0.000158073,0.0691202,0.0001332071,0.00007037838,0.0004288747,0.0002034356,0.0001329873,0.008918867],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006647433,"threshold_uncertainty_score":0.0222379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05128196436881572,"score_gpt":0.2517471624498394,"score_spread":0.2004651980810237,"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."}}