{"id":"W2109130512","doi":"10.1007/s11661-009-9806-4","title":"In-Situ Investigation of Hot Tearing in Aluminum Alloy AA1050 via Acoustic Emission and Cooling Curve Analysis","year":2009,"lang":"en","type":"article","venue":"Metallurgical and Materials Transactions A","topic":"Aluminum Alloy Microstructure Properties","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal; Coquitlam College; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tearing; Cracking; Materials science; Acoustic emission; Welding; In situ; Aluminium; Alloy; Metallurgy; Analytical Chemistry (journal); Composite material; Physics; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001469648,0.0001924773,0.0002470491,0.0002902021,0.0003156704,0.0002719712,0.0004380587,0.0002882506,0.001809935],"category_scores_gemma":[0.0003174104,0.0001783704,0.0001351504,0.0002105349,0.0003977618,0.0003416422,0.000176472,0.0002874822,0.0001761019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002866616,"about_ca_system_score_gemma":0.0001464951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001979644,"about_ca_topic_score_gemma":0.003565581,"domain_scores_codex":[0.999871,0.00001075507,0.00000384106,0.0000264375,0.00006758551,0.00002041193],"domain_scores_gemma":[0.9996823,0.0001122412,0.00005182273,0.00002299293,0.0001138525,0.00001679365],"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":[0.0001270107,0.00001685734,0.001053132,0.00003654729,0.000003809106,0.00007998649,0.0001267027,0.0001818202,0.9963732,0.00005226243,0.00005134639,0.001897372],"study_design_scores_gemma":[0.000008477041,0.0001846975,0.01653026,0.000005111259,0.00001268425,0.0001387883,0.0002388354,0.006370193,0.9756742,0.0000355909,0.0007911692,0.000009989766],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962446,0.0001372089,0.002542201,0.00002607242,0.000008283969,0.000008324326,0.00009178473,0.00006182189,0.0008794975],"genre_scores_gemma":[0.9981955,0.00003749964,0.0007978137,0.000007359349,0.000004056076,0.000005461639,0.0000408471,0.00001349965,0.0008980288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001979644,"threshold_uncertainty_score":0.006054819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008414160132905413,"score_gpt":0.2040015115634509,"score_spread":0.1955873514305455,"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."}}