{"id":"W1976113839","doi":"10.1142/s0219876205000557","title":"A GENETIC ALGORITHM BASED PROCEDURE FOR AUTOMATIC CRACK PROFILE IDENTIFICATION","year":2005,"lang":"en","type":"article","venue":"International Journal of Computational Methods","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Polygon mesh; Convergence (economics); Finite element method; Identification (biology); Algorithm; Computer science; Genetic algorithm; Mathematical optimization; Mathematics; Structural engineering; Engineering; Machine learning","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":[0.0008464475,0.0005850318,0.0005403757,0.001048276,0.0006987639,0.0005435932,0.0008814835,0.0009713535,0.002574125],"category_scores_gemma":[0.003068105,0.0002843206,0.0005092096,0.000632252,0.0007637285,0.0004411291,0.0005393331,0.001142262,0.000782659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005370662,"about_ca_system_score_gemma":0.001160425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002804197,"about_ca_topic_score_gemma":0.002606597,"domain_scores_codex":[0.9993087,0.0001939027,0.00002575401,0.0001207826,0.0003122233,0.00003859974],"domain_scores_gemma":[0.9993333,0.0003357105,0.00005891973,0.00009348778,0.0001600057,0.00001850736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007136451,0.0001805224,0.001145249,0.0001263689,0.0001124509,0.0002031698,0.0002145941,0.3413245,0.03477455,0.0619834,0.003744342,0.5561194],"study_design_scores_gemma":[0.00003338164,0.00009148056,0.0005688921,0.00002652406,0.0000257535,0.0002100177,0.00002003602,0.9630482,0.01147016,0.01691184,0.007564066,0.00002973776],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002160691,0.00002347761,0.9961391,0.00003533608,0.00001483993,0.00006953639,0.00001694495,0.0003854888,0.001154584],"genre_scores_gemma":[0.05460528,0.00005732272,0.9429385,0.0000624658,0.00001315211,0.0002695625,0.00007627093,0.00007875284,0.001898748],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002804197,"threshold_uncertainty_score":0.008611262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02604118334378096,"score_gpt":0.4099848539461921,"score_spread":0.3839436706024111,"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."}}