{"id":"W2028513192","doi":"10.1117/12.385034","title":"&lt;title&gt;Role of data fusion in NDE for aging aircraft&lt;/title&gt;","year":2000,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Airframe; Nondestructive testing; Eddy-current testing; Eddy current; Structural integrity; Sensor fusion; Computer science; Set (abstract data type); Corrosion; Enhanced Data Rates for GSM Evolution; Engineering; Reliability engineering; Structural engineering; Artificial intelligence; Materials science; Electrical engineering; Aerospace engineering","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":[0.006564939,0.0005493414,0.0008208557,0.001482341,0.0009272012,0.003143745,0.001070544,0.0009946114,0.01371489],"category_scores_gemma":[0.008530213,0.0003503646,0.0003671808,0.001325036,0.001018459,0.004659449,0.001299827,0.001102945,0.007429273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001364721,"about_ca_system_score_gemma":0.0007492376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002299063,"about_ca_topic_score_gemma":0.002417788,"domain_scores_codex":[0.9979876,0.0006102347,0.0001419249,0.0002287442,0.0009477386,0.00008373784],"domain_scores_gemma":[0.9940122,0.002135706,0.0002387382,0.001346893,0.00204018,0.0002262955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005337195,0.0001692095,0.00414415,0.0003121453,0.0000377772,0.0002432846,0.0003007792,0.02310993,0.05367832,0.04505651,0.05416104,0.8182531],"study_design_scores_gemma":[0.00006479378,0.0006296801,0.003654748,0.0002366537,0.00004161706,0.0006506094,0.0003270763,0.4895186,0.1656731,0.05631793,0.2827092,0.0001760372],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01533436,0.001412918,0.9339114,0.003520516,0.0006924553,0.0003808472,0.001172216,0.008113969,0.03546124],"genre_scores_gemma":[0.2861166,0.001983857,0.6715363,0.0007255345,0.0004609592,0.0002416791,0.0025694,0.002619447,0.03374629],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01371489,"threshold_uncertainty_score":0.04588085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01491560327174179,"score_gpt":0.2429690930548532,"score_spread":0.2280534897831114,"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."}}