{"id":"W4389078654","doi":"10.1007/s10921-023-01018-9","title":"Acousto-Ultrasonic Inspection of Pre-baked Carbon Anodes: Repeatability Analysis and Assessment of Damage Detection Performance","year":2023,"lang":"en","type":"article","venue":"Journal of Nondestructive Evaluation","topic":"Ultrasonics and Acoustic Wave Propagation","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alcoa (Canada); Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Repeatability; Materials science; Anode; Linear discriminant analysis; Principal component analysis; Ultrasonic sensor; Ultrasonic testing; Projection (relational algebra); Acoustics; Computer science; Artificial intelligence; Electrode; Mathematics; Statistics; Algorithm","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00211209,0.0001107873,0.0003036499,0.0005621532,0.00004906989,0.00001322247,0.00006317558,0.00007523657,0.000008182759],"category_scores_gemma":[0.0002418973,0.000105419,0.00009390398,0.001129046,0.00005753747,0.0003130694,0.00001164738,0.0002168334,1.032479e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000300685,"about_ca_system_score_gemma":0.0001054443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002625146,"about_ca_topic_score_gemma":0.00002712667,"domain_scores_codex":[0.9984136,0.0001288087,0.000621673,0.0001277802,0.0006022452,0.0001058556],"domain_scores_gemma":[0.9983648,0.0001252022,0.0005402719,0.0001534263,0.0007800328,0.00003627691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004269908,0.00003336493,0.07132995,0.0001612435,0.0003563657,3.180338e-7,0.0004885026,0.4570877,0.4540208,0.000005498946,8.662754e-7,0.01647266],"study_design_scores_gemma":[0.0002637933,0.0001438068,0.4805469,0.00002765065,0.0004515579,0.00000454458,0.0001903174,0.4835589,0.03455938,0.0002093212,2.153536e-7,0.00004369261],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9768868,0.00005110765,0.02244806,0.000005956982,0.0002388252,0.0002131208,0.000008276333,0.00002999113,0.0001178786],"genre_scores_gemma":[0.9977894,0.0002180688,0.001893422,4.619123e-7,0.0000672954,0.000006793894,0.00001026891,0.00001214381,0.000002177076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4194615,"threshold_uncertainty_score":0.4298863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01490671174327559,"score_gpt":0.2863665466338855,"score_spread":0.2714598348906099,"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."}}