{"id":"W2407905567","doi":"","title":"ANISOTROPY OPTIMIZATION OF GIANT MAGNETOIMPEDANCE SENSORS","year":2004,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Magnetic Properties and Applications","field":"Materials Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Anisotropy; Magnetostriction; Materials science; Giant magnetoimpedance; Amplitude; Condensed matter physics; Magnetic field; Magnetic anisotropy; Transverse plane; Magnetization; Nuclear magnetic resonance; Stress (linguistics); Composite material; Magnetoresistance; Optics; Giant magnetoresistance; Physics; Structural engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003960347,0.0007516246,0.0005687252,0.0003523415,0.0003184124,0.0004695574,0.0004315644,0.0004660124,0.0006059275],"category_scores_gemma":[0.0005395735,0.0004199214,0.000139929,0.0003117147,0.0002495083,0.0002160446,0.0001677759,0.0003634991,0.0003674725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001335477,"about_ca_system_score_gemma":0.0003782865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006148176,"about_ca_topic_score_gemma":0.02481902,"domain_scores_codex":[0.9995277,0.00004409657,0.0000221133,0.0001310803,0.0001799433,0.00009509394],"domain_scores_gemma":[0.9997823,0.00003433194,0.0000554448,0.00001490119,0.00008630266,0.00002685114],"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":[0.00002447403,0.000008446232,0.00009982649,0.00001370113,0.000002025007,0.00001399655,0.000009879495,0.000142365,0.9988794,0.00003412159,0.0000486245,0.000723107],"study_design_scores_gemma":[0.000004965239,0.00003437381,0.0007950002,0.000001550852,0.0000034471,0.00001542032,0.000007205465,0.001438293,0.9969575,0.000006398011,0.0007314986,0.000004308044],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9786223,0.0009681742,0.01635353,0.0002034778,0.00004091863,0.0001098351,0.0003870389,0.0003910828,0.00292366],"genre_scores_gemma":[0.9714507,0.0006740997,0.02378072,0.00004272933,0.00001846589,0.0001090772,0.0004602857,0.00007797267,0.00338607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006148176,"threshold_uncertainty_score":0.01222479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008799713181923154,"score_gpt":0.2153854834161182,"score_spread":0.2065857702341951,"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."}}