{"id":"W1990101439","doi":"10.1002/pen.20310","title":"Real‐time monitoring of injection molding for microfluidic devices using ultrasound","year":2005,"lang":"en","type":"article","venue":"Polymer Engineering and Science","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; National Research Council Canada","funders":"","keywords":"Materials science; Ultrasonic sensor; Lead zirconate titanate; Piezoelectricity; Transducer; Fabrication; Molding (decorative); Microfluidics; Composite material; Ultrasonic testing; Mold; Hydrophone; Ultrasonic welding; Ultrasound; Acoustics; Optoelectronics; Welding; Nanotechnology; Ferroelectricity","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":[0.0001701589,0.0001095284,0.0001191551,0.0001624882,0.0001266004,0.00003558671,0.0001235589,0.0000359743,0.000004679535],"category_scores_gemma":[0.00001323638,0.0001173986,0.00002729217,0.0003680557,0.00006098611,0.0001884132,0.00001432116,0.00005067941,0.000001246155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006730109,"about_ca_system_score_gemma":0.00002428381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002368823,"about_ca_topic_score_gemma":9.298413e-8,"domain_scores_codex":[0.9992927,0.000002284348,0.0001687257,0.0001653796,0.0001075446,0.00026338],"domain_scores_gemma":[0.9997073,0.00004348845,0.00002301638,0.0001226065,0.0000334479,0.00007011438],"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":[0.000001076556,0.000003699741,0.0004086292,0.00003491909,0.000007425297,4.255946e-8,0.0001274355,0.003370233,0.9947557,0.0001801769,0.00006124927,0.001049456],"study_design_scores_gemma":[0.00006807437,0.00001388976,0.001019582,0.00003160473,0.00001456182,0.00001794504,0.00003050693,0.04970149,0.9484695,0.000003561152,0.0005043311,0.0001249161],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9557267,0.03613683,0.007789935,0.000004513305,0.00008784582,0.00008427236,0.000004545975,0.0001140465,0.00005124668],"genre_scores_gemma":[0.9896678,0.007779974,0.002376204,0.000002022046,0.0001224405,0.00001233666,9.592356e-7,0.00001953166,0.00001870902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04633126,"threshold_uncertainty_score":0.4787375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008579031135025112,"score_gpt":0.226705571261632,"score_spread":0.2181265401266069,"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."}}