{"id":"W2438290909","doi":"10.1088/0964-1726/25/7/075037","title":"Design and optimization of a multi-element piezoelectric transducer for mode-selective generation of guided waves","year":2016,"lang":"en","type":"article","venue":"Smart Materials and Structures","topic":"Ultrasonics and Acoustic Wave Propagation","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Piezoelectricity; Transducer; Acoustics; Mode (computer interface); Element (criminal law); Materials science; Engineering; Computer science; Physics; Political 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002386225,0.0004499648,0.0003922795,0.0002506408,0.0001277172,0.0003354544,0.0006985372,0.000678374,0.0006100118],"category_scores_gemma":[0.0003030575,0.0003268631,0.0002604165,0.0002484051,0.0002094575,0.0003940798,0.0003510582,0.0002970075,0.0003265787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002873405,"about_ca_system_score_gemma":0.000475965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002051655,"about_ca_topic_score_gemma":0.000442388,"domain_scores_codex":[0.9997513,0.00002033721,0.00001342858,0.00005596747,0.0001421779,0.0000167276],"domain_scores_gemma":[0.9998446,0.00003615179,0.00005232077,0.00001286067,0.00004246312,0.00001171402],"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":[0.00004678739,0.0000400944,0.0004374304,0.0001884405,0.00001926767,0.0001022796,0.0000380006,0.04205562,0.9291183,0.001468676,0.0002647071,0.02622044],"study_design_scores_gemma":[0.00003693828,0.000622119,0.001388559,0.00001936139,0.00003978856,0.0003993201,0.00003538659,0.5804085,0.4097972,0.0004943437,0.006725809,0.00003261943],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1243333,0.0007186042,0.8700592,0.0002460459,0.0000646086,0.0001783703,0.0001370919,0.0002720529,0.003990751],"genre_scores_gemma":[0.4503957,0.0004706008,0.5461817,0.00005220397,0.00002044664,0.0003172789,0.0001158507,0.00004220753,0.002403849],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0006985372,"threshold_uncertainty_score":0.002084792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02275431062156614,"score_gpt":0.2358778726602902,"score_spread":0.213123562038724,"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."}}