{"id":"W4415660846","doi":"10.11648/j.ajhr.20251305.12","title":"A Biomedical Design of a Femtotesla Ferromagnetic Detector with Quasi-Super Conductor","year":2025,"lang":"en","type":"article","venue":"American Journal of Health Research","topic":"Magnetic Field Sensors Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of Ottawa","funders":"","keywords":"Silicon carbide; Superconductivity; Detector; Noise (video); Semiconductor; Magnetic field; Graphene; Chip","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":[0.002667715,0.0001308059,0.0005658383,0.0008539032,0.00006449057,0.00001873962,0.0003794758,0.00005734433,0.0001197763],"category_scores_gemma":[0.0004202631,0.0001003132,0.00005334075,0.001230005,0.0007251604,0.0000492263,0.00003567478,0.000839834,0.000002881704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001526051,"about_ca_system_score_gemma":0.0008765195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003359188,"about_ca_topic_score_gemma":0.00001089983,"domain_scores_codex":[0.9970914,0.0007470977,0.0007200476,0.0001331666,0.000773817,0.0005345295],"domain_scores_gemma":[0.997934,0.0009707143,0.0001413099,0.0002805876,0.0004364604,0.0002368873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.001436972,0.000835552,0.001916502,0.002402733,0.000451847,0.0002737144,0.004683685,0.001076329,0.09677579,0.0007876628,0.0445267,0.8448325],"study_design_scores_gemma":[0.01842974,0.4431735,0.05749371,0.01667077,0.0003601712,0.003438151,0.06119175,0.1293121,0.1586428,0.007655623,0.09983352,0.003798204],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8666015,0.003687273,0.1231972,0.004990807,0.000152954,0.0006548326,0.000004899654,0.00008935796,0.0006211489],"genre_scores_gemma":[0.9483923,0.000484611,0.05087609,0.00009926742,0.00003899586,0.00001262535,3.065738e-7,0.00002344793,0.00007239918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8410343,"threshold_uncertainty_score":0.4090652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.080927433362065,"score_gpt":0.3891343457247056,"score_spread":0.3082069123626406,"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."}}