{"id":"W3132444854","doi":"","title":"Numerical Model of Magnetostriction and Lorentz Force Mechanisms in Electromagnetic Acoustic Transducers","year":2020,"lang":"","type":"dissertation","venue":"TSpace","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Lorentz force; Magnetostriction; Transducer; Acoustics; Lorentz transformation; Physics; Force transducer; Classical mechanics; Magnetic field; Quantum mechanics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005532512,0.0005262704,0.0004915243,0.0004885058,0.0003164264,0.0007401099,0.001291434,0.001636308,0.001636655],"category_scores_gemma":[0.001658301,0.0005017266,0.0005947508,0.0003655142,0.0008016573,0.0008232312,0.0004895364,0.0005443906,0.0005917258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000945729,"about_ca_system_score_gemma":0.0007632472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003423052,"about_ca_topic_score_gemma":0.002011186,"domain_scores_codex":[0.9997281,0.00006615093,0.00001323966,0.00003782667,0.0001309423,0.00002367363],"domain_scores_gemma":[0.9995396,0.0002072605,0.00008111517,0.00004201423,0.0001085673,0.00002139481],"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":[0.0000203482,0.0000240585,0.0002874798,0.00006367975,0.00001103591,0.00009243743,0.00007999961,0.9696919,0.009611304,0.01510018,0.000247249,0.004770358],"study_design_scores_gemma":[0.000001990726,0.000005378862,0.00004930433,0.000003746241,0.000001398807,0.00001134946,0.000003316423,0.9984859,0.0004180135,0.0005557701,0.0004614825,0.000002416108],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04344695,0.0009483804,0.9279655,0.0004093555,0.0001194029,0.0001257656,0.0001659333,0.0004227471,0.02639609],"genre_scores_gemma":[0.8425814,0.001604672,0.112878,0.0002163526,0.00007970122,0.0004670824,0.0001904942,0.0002423776,0.04174003],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003423052,"threshold_uncertainty_score":0.006861806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02218976161167141,"score_gpt":0.2677836724328436,"score_spread":0.2455939108211722,"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."}}