{"id":"W2132599949","doi":"10.4028/www.scientific.net/kem.245-246.289","title":"A Coupled Approach to Developing Damage Prognosis Solutions","year":2003,"lang":"en","type":"article","venue":"Key engineering materials","topic":"Ultrasonics and Acoustic Wave Propagation","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hyteon (Canada)","funders":"","keywords":"National laboratory; Engineering; Library science; Management; Engineering physics; Aeronautics; Computer science","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":[0.0002960838,0.0001923984,0.0002051183,0.0001146054,0.00006457713,0.0001184101,0.0001089698,0.00007368086,0.00004246736],"category_scores_gemma":[0.0001488284,0.0002048945,0.00002686892,0.0002366468,0.000006249048,0.00009420532,0.00002062084,0.00006546088,0.00006220666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009885642,"about_ca_system_score_gemma":0.00002081797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004476453,"about_ca_topic_score_gemma":2.603612e-7,"domain_scores_codex":[0.9990256,0.00001357344,0.0002608396,0.0001776818,0.0001224072,0.0003998919],"domain_scores_gemma":[0.9996602,0.00002778651,0.00001823864,0.0001608679,0.00003947042,0.00009345626],"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":[8.501604e-7,0.00001268266,0.000006004275,0.0001536387,0.00002689263,9.10786e-7,0.0001220862,0.2680846,0.720224,0.01114141,0.0001933635,0.00003358067],"study_design_scores_gemma":[0.0005230765,0.00003532181,0.002051385,0.0002183488,0.0000624278,0.00002977629,0.00006792826,0.3024586,0.6849169,0.0002625303,0.008213997,0.001159679],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3924929,0.00005173498,0.6048574,0.00002151601,0.0006431868,0.0003340043,0.00001382019,0.000545137,0.001040269],"genre_scores_gemma":[0.9078255,0.0000146252,0.09178378,0.00001838854,0.00007328184,0.000172752,0.00002447426,0.0000596937,0.00002744751],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5153326,"threshold_uncertainty_score":0.8355356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01622042899761989,"score_gpt":0.1909471608319986,"score_spread":0.1747267318343787,"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."}}