{"id":"W1969359264","doi":"10.4028/www.scientific.net/msf.794-796.455","title":"Activation Distance Determination of Rate Controlling Obstacles in the Age Hardening of a Quasi-Binary Al-Mg&lt;sub&gt;2&lt;/sub&gt;Si Alloy","year":2014,"lang":"en","type":"article","venue":"Materials science forum","topic":"Aluminum Alloy Microstructure Properties","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ageing; Alloy; Materials science; Hardening (computing); Metallurgy; Precipitation hardening; Analytical Chemistry (journal); Composite material; Chemistry; Medicine; Internal medicine","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":[0.00009470641,0.0001695811,0.0002125705,0.0002229995,0.0001090283,0.0002316173,0.0002837334,0.0002489872,0.000781912],"category_scores_gemma":[0.0002471763,0.0002291503,0.0001220658,0.0001259542,0.0002649763,0.0002147691,0.0001806386,0.0001965648,0.0001696091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002239382,"about_ca_system_score_gemma":0.0001216264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007612344,"about_ca_topic_score_gemma":0.001465643,"domain_scores_codex":[0.9999155,0.000005781778,0.000004727706,0.00002414866,0.0000368586,0.00001300503],"domain_scores_gemma":[0.9997857,0.00005457103,0.0000710805,0.00002143443,0.00004687746,0.00002041492],"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":[0.0000468536,0.000002986107,0.0004799456,0.00001499874,0.000001754578,0.00001811104,0.00002430529,0.0002008325,0.998508,0.00003570013,0.000005209367,0.0006611565],"study_design_scores_gemma":[0.000003846254,0.0001220013,0.01731547,0.000001668554,0.0000077458,0.00007548319,0.00003547089,0.00355141,0.9784755,0.00003097339,0.0003730886,0.000007402896],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975515,0.0001571942,0.001921356,0.000006013004,0.000003070415,0.000004604618,0.00003689353,0.00001587068,0.0003035287],"genre_scores_gemma":[0.9981134,0.00008615876,0.001258298,0.00000379135,9.738479e-7,0.00000451477,0.00005488719,0.000006881636,0.0004711171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000781912,"threshold_uncertainty_score":0.002615809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008324319295138563,"score_gpt":0.2091729260563747,"score_spread":0.2008486067612361,"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."}}