{"id":"W4402988877","doi":"10.58286/30295","title":"Developing flaw sizing methodology in Total Focusing Method (TFM) by EDM calibration blocks","year":2024,"lang":"en","type":"article","venue":"e-Journal of Nondestructive Testing","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Mitacs; Hydro-Québec","keywords":"Sizing; Calibration; Computer science; Electronic engineering; Engineering; Mathematics; Statistics; Chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.002588125,0.0004213399,0.0006623573,0.0007803691,0.0001167016,0.000190339,0.0003266264,0.0002286126,0.00002417288],"category_scores_gemma":[0.002509678,0.0004343863,0.0001282755,0.001346265,0.0001019191,0.00107781,0.0001123449,0.001249931,0.000002378577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008873749,"about_ca_system_score_gemma":0.0002698724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001110617,"about_ca_topic_score_gemma":0.00001056748,"domain_scores_codex":[0.9971271,0.0004059102,0.001143666,0.0003881814,0.0003651745,0.0005700178],"domain_scores_gemma":[0.995864,0.003242849,0.0003026133,0.0001850341,0.0002819694,0.00012354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003524047,0.00002234994,0.007421945,0.0003855633,0.0002349222,0.0006185515,0.0017125,0.003646776,0.8987436,0.01399437,0.0002177347,0.07296649],"study_design_scores_gemma":[0.0009929393,0.0004550384,0.006397658,0.004462599,0.0002031966,0.01295656,0.0008576613,0.08088768,0.2014826,0.6895349,0.0001148805,0.001654216],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3666866,0.00127934,0.628807,0.00008432008,0.0007268265,0.0001606986,0.000005542086,0.0005755047,0.001674118],"genre_scores_gemma":[0.2893073,0.000007924036,0.7102877,0.00001864278,0.0002728317,0.000007479157,0.000001909119,0.00009135783,0.000004812415],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6972609,"threshold_uncertainty_score":0.9998108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09007837309542092,"score_gpt":0.3485852615821036,"score_spread":0.2585068884866826,"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."}}