{"id":"W1984269355","doi":"10.4028/www.scientific.net/msf.715-716.407","title":"Laser-Ultrasonic Austenite Grain Size Measurements in Low-Carbon Steels","year":2012,"lang":"en","type":"article","venue":"Materials science forum","topic":"Microstructure and Mechanical Properties of Steels","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; University of British Columbia","funders":"","keywords":"Materials science; Metallurgy; Microstructure; Austenite; Grain size; Carbon steel; Laser ultrasonics; Recrystallization (geology); Laser; Optics; Wavelength; Optoelectronics; Corrosion","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":[0.0003562956,0.0001652207,0.0002081576,0.0009758482,0.0003137124,0.0002392346,0.0005172429,0.0004395575,0.001348172],"category_scores_gemma":[0.0005989019,0.000191826,0.0001221776,0.0007341701,0.0003214399,0.0002965174,0.0001934401,0.0002656236,0.0002655549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006481963,"about_ca_system_score_gemma":0.0002108827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005100549,"about_ca_topic_score_gemma":0.01405708,"domain_scores_codex":[0.9996203,0.00003096478,0.00002102141,0.00006272667,0.0002362332,0.00002884787],"domain_scores_gemma":[0.9994482,0.0001331636,0.00008958823,0.00004145993,0.0002616947,0.00002594091],"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":[0.00005221121,0.000008857763,0.001217664,0.00005580634,0.000002662186,0.00002940476,0.00006983234,0.0003192754,0.9944043,0.00008764554,0.00004616151,0.003706353],"study_design_scores_gemma":[0.000008708667,0.0001894769,0.03854676,0.000009184494,0.00001170636,0.0001575016,0.0001019324,0.003318696,0.9563439,0.00009831265,0.001197476,0.00001634553],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9699197,0.001352096,0.02486006,0.00005031411,0.00002455284,0.00005257724,0.0003842166,0.000297061,0.003059379],"genre_scores_gemma":[0.978369,0.0004936709,0.01874596,0.00002014082,0.000006648118,0.00002961562,0.000249006,0.00004027574,0.002045718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005100549,"threshold_uncertainty_score":0.01014173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01593687262398097,"score_gpt":0.2188957982365613,"score_spread":0.2029589256125803,"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."}}