{"id":"W2069419755","doi":"10.1063/1.1373698","title":"Physical mechanisms of thermal-diffusivity depth-profile generation in a hardened low-alloy Mn, Si, Cr, Mo steel reconstructed by photothermal radiometry","year":2001,"lang":"en","type":"article","venue":"Journal of Applied Physics","topic":"Thermography and Photoacoustic Techniques","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of New Brunswick","funders":"","keywords":"Thermal diffusivity; Carburizing; Materials science; Quenching (fluorescence); Alloy; Indentation hardness; Metallurgy; Microstructure; Thermal; Composite material; Thermodynamics; Optics","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":[0.0001955099,0.0002482424,0.0005090038,0.000166734,0.00003481124,0.0000250116,0.0002401262,0.0001435506,0.00004745678],"category_scores_gemma":[0.000005129637,0.0002380269,0.0001927159,0.0005414294,0.000059848,0.0001579758,0.00001938677,0.0004217414,0.000001269357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006987188,"about_ca_system_score_gemma":0.0000289031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008646962,"about_ca_topic_score_gemma":0.000003290325,"domain_scores_codex":[0.9987395,0.00003620383,0.000511692,0.0001511478,0.000303356,0.000258142],"domain_scores_gemma":[0.9992841,0.00006193309,0.0003002839,0.0001865269,0.00007893528,0.00008819666],"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":[0.0001396311,0.000243528,0.00003843438,0.0000480667,0.0001024047,0.00000681039,0.0004493958,0.02488491,0.9613694,0.000232841,0.0002658511,0.01221875],"study_design_scores_gemma":[0.0009268547,0.00009158753,0.000470302,0.00004282283,0.00004652617,0.00001403007,0.00007922915,0.07542823,0.9201057,0.002515387,0.00004583599,0.0002334861],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9716569,0.0000524154,0.02683231,0.000002439001,0.0001200604,0.0002388673,0.0001293061,0.00007233005,0.0008954313],"genre_scores_gemma":[0.9965322,0.00005732051,0.002989108,0.00003179903,0.0002919836,0.00001848432,0.00001841871,0.00005354455,0.000007111303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05054332,"threshold_uncertainty_score":0.9706457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008470472357039783,"score_gpt":0.2069692850089577,"score_spread":0.1984988126519179,"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."}}