{"id":"W4408130002","doi":"10.54097/fdfv1k20","title":"Electromagnetic Induction Sensor Design for Metal Oil Wear Particle Detection","year":2025,"lang":"en","type":"article","venue":"Academic Journal of Science and Technology","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Particle (ecology); Electromagnetic induction; Materials science; Automotive engineering; Environmental science; Acoustics; Engineering; Electrical engineering; Physics; Geology","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":[0.00043718,0.0004293314,0.0004272553,0.0003711849,0.000193996,0.0003676621,0.0009211667,0.0004725055,0.0007426076],"category_scores_gemma":[0.0006524016,0.000226331,0.0002861057,0.0002738464,0.0002763502,0.0007193163,0.0002999356,0.0003202015,0.000424253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004432094,"about_ca_system_score_gemma":0.0004719576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003324223,"about_ca_topic_score_gemma":0.0003291857,"domain_scores_codex":[0.9994053,0.00007975897,0.00003509262,0.0001229986,0.0003206311,0.00003623919],"domain_scores_gemma":[0.9995568,0.00008160742,0.00008653511,0.00004469612,0.0002078778,0.00002241146],"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":[0.000213831,0.00005872718,0.001748866,0.000420856,0.00002456685,0.0001505205,0.0001539519,0.005700128,0.923188,0.003080489,0.001050752,0.06420928],"study_design_scores_gemma":[0.00004201411,0.0007991661,0.003673343,0.00002333654,0.00005775877,0.0008872069,0.00007810619,0.1263004,0.8512701,0.0008616421,0.01596002,0.00004696624],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06067497,0.0006585558,0.9337807,0.0002046184,0.0001353916,0.0001748494,0.00007884907,0.001021928,0.003270051],"genre_scores_gemma":[0.7591546,0.0005504575,0.23567,0.000146495,0.00007190403,0.0001915005,0.0001230733,0.00005255455,0.004039265],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009211667,"threshold_uncertainty_score":0.003215671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01636106340795254,"score_gpt":0.2651383531688618,"score_spread":0.2487772897609093,"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."}}