{"id":"W4393188740","doi":"10.25144/20047","title":"HIGH POWER MAGNETOSTRICTIVE TONPILZ TRANSDUCERS","year":2024,"lang":"en","type":"article","venue":"","topic":"Magnetic Properties and Applications","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Center for Diagnosis and Research on Alzheimer's Disease","funders":"","keywords":"Transducer; Magnetostriction; Acoustics; Power (physics); Materials science; Computer science; Physics; Magnetic field","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":[0.0002513748,0.0003077443,0.0004309486,0.0002432544,0.0001425225,0.0004077824,0.0005392023,0.0004961705,0.003098308],"category_scores_gemma":[0.0004170556,0.0002511083,0.000129385,0.0004106443,0.0002719466,0.000856588,0.0004840476,0.0004290056,0.0007664034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004968267,"about_ca_system_score_gemma":0.0002159947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007786712,"about_ca_topic_score_gemma":0.002592371,"domain_scores_codex":[0.999594,0.0000258574,0.000009986615,0.00005283377,0.0002861549,0.00003115858],"domain_scores_gemma":[0.9998106,0.00006149957,0.00002857111,0.00002360722,0.00006549624,0.00001011298],"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":[0.00011975,0.00001635725,0.0005550311,0.0002204674,0.000006975798,0.00009745666,0.0001306567,0.002726927,0.9531701,0.001544717,0.001324594,0.04008701],"study_design_scores_gemma":[0.00003487435,0.0003923997,0.005516591,0.00002478619,0.00003005956,0.0003856432,0.0001507534,0.05618522,0.8975207,0.0007982499,0.03891438,0.00004631695],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.412784,0.001700298,0.5530704,0.0009472322,0.0002535825,0.0002397747,0.001161148,0.002196567,0.02764702],"genre_scores_gemma":[0.8337462,0.001045239,0.1396032,0.0001574829,0.00005685919,0.0001434076,0.0005754252,0.0002313145,0.02444095],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003098308,"threshold_uncertainty_score":0.01036489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007187427931723749,"score_gpt":0.2170642981664744,"score_spread":0.2098768702347506,"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."}}