{"id":"W2134427085","doi":"10.5539/mas.v8n2p142","title":"Printed Circuit Board Fault Inspection Based on Eddy Current Testing Using Planar Coil Sensor","year":2014,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Printed circuit board; Fault (geology); Electromagnetic coil; Voltage; Planar; Eddy-current sensor; Eddy current; Eddy-current testing; Acoustics; Helmholtz free energy; Computer science; Electrical engineering; Materials science; Engineering; Geology; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005960607,0.0002414966,0.0001911495,0.0003010703,0.0003364073,0.0001140239,0.0003963175,0.00005853813,0.00000231678],"category_scores_gemma":[0.0002930311,0.0002534174,0.00002729112,0.0007832702,0.0002820448,0.0001320217,0.00004696012,0.0003515661,0.00001847224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005266114,"about_ca_system_score_gemma":0.00007243348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002900515,"about_ca_topic_score_gemma":0.000003575793,"domain_scores_codex":[0.9982001,0.00001915373,0.0002387069,0.0005261817,0.0005414674,0.0004743806],"domain_scores_gemma":[0.9990695,0.000154124,0.00007916836,0.000457887,0.0001104537,0.0001288901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005014523,0.00002480308,0.001015735,0.00004121381,0.000001741817,0.000001033341,0.0001026407,0.04561745,0.9375375,0.003069867,0.00000978452,0.01257322],"study_design_scores_gemma":[0.0001674637,0.00003217254,0.002892639,0.00009965421,0.000006373623,0.000005812418,0.000007816783,0.9399727,0.03761373,0.01889621,0.00002095254,0.000284478],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2973567,0.000003462463,0.6832185,0.000004956155,0.000183225,0.0002166876,0.000002533079,0.002110783,0.01690307],"genre_scores_gemma":[0.7700191,2.853733e-7,0.2298253,0.00002847106,0.00006916998,0.00002120409,0.000001210185,0.00003465908,6.532966e-7],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8999237,"threshold_uncertainty_score":0.9999918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04474883449954832,"score_gpt":0.2624013877605157,"score_spread":0.2176525532609674,"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."}}