{"id":"W2018201255","doi":"10.1002/pen.23465","title":"Real‐time diagnosis of gas‐assisted hot embossing process by ultrasound","year":2013,"lang":"en","type":"article","venue":"Polymer Engineering and Science","topic":"Nanofabrication and Lithography Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"National Science Council","keywords":"Embossing; Materials science; Ultrasonic sensor; Process (computing); Composite material; Ultrasound; Gas pressure; Transducer; Acoustics; Computer science","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":[0.0001261791,0.0001206209,0.000135047,0.0002055246,0.00006447241,0.00008052347,0.0001833529,0.00003726326,0.00003767208],"category_scores_gemma":[0.00003070674,0.0001145471,0.00002583604,0.0007613802,0.0001862847,0.0003062469,0.00001323093,0.00006496388,0.000003677376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001537733,"about_ca_system_score_gemma":0.00001321653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008489686,"about_ca_topic_score_gemma":1.418357e-7,"domain_scores_codex":[0.9992293,0.00000408815,0.0001703772,0.0001700262,0.0001818217,0.000244354],"domain_scores_gemma":[0.9995866,0.00005877595,0.00002637596,0.0001588051,0.00004852514,0.0001209422],"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":[4.056299e-7,0.00001508665,0.002238282,0.0000585353,0.000006980355,1.6305e-7,0.0003046026,0.0001424674,0.9895471,0.00009877564,0.0003918875,0.007195686],"study_design_scores_gemma":[0.00007638985,0.00002215295,0.01677001,0.00006755931,0.000008783893,0.000008854477,0.00004643291,0.02850131,0.9540533,0.0000216797,0.0001872007,0.0002362764],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953488,0.0009511188,0.001666054,0.00002503813,0.00005520383,0.000105606,0.000006798369,0.0004956491,0.001345766],"genre_scores_gemma":[0.9980646,0.0002177048,0.001570292,0.00000692976,0.00001140592,0.00006364849,0.000001786884,0.00001570998,0.00004796104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03549378,"threshold_uncertainty_score":0.4671094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004745763207573766,"score_gpt":0.2108747870938903,"score_spread":0.2061290238863165,"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."}}