{"id":"W3133670904","doi":"","title":"Influence of Composition and Pre-Ageing on the Mechanical Properties in Naturally Aged AA6xxx Series Alloys","year":2020,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Aluminum Alloy Microstructure Properties","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Ageing; Series (stratigraphy); Composition (language); Materials science; Geology; Medicine","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":[0.0003154017,0.0002082529,0.0002865457,0.0002978741,0.0002542938,0.0003435202,0.0002056022,0.000311572,0.002140276],"category_scores_gemma":[0.0006959225,0.0001430975,0.0001879395,0.0002185211,0.0002351916,0.0002328566,0.0001853991,0.000160291,0.0004238561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002087171,"about_ca_system_score_gemma":0.000199123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009925243,"about_ca_topic_score_gemma":0.001706214,"domain_scores_codex":[0.9998343,0.0000318161,0.00001566773,0.00003215655,0.00005956497,0.00002649726],"domain_scores_gemma":[0.9996017,0.00009443805,0.00006247917,0.00003502953,0.0001739506,0.00003243597],"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":[0.001042434,0.00004767676,0.002610939,0.0001166689,0.00001651861,0.0001797467,0.0001069538,0.0007500618,0.9895008,0.00007111151,0.00009147362,0.005465569],"study_design_scores_gemma":[0.000012877,0.0008817025,0.03150814,0.0000131993,0.00003252723,0.0002112062,0.0001416233,0.002592127,0.9628555,0.00009051488,0.001647302,0.00001333125],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997841,0.0009534707,0.0003898377,0.00001642903,0.00002917562,0.000005872627,0.00009771159,0.00002027206,0.0006461219],"genre_scores_gemma":[0.9976708,0.0002763087,0.0002395084,0.00001128279,0.00001048016,0.000004784382,0.00009927485,0.00001872688,0.001668705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002140276,"threshold_uncertainty_score":0.007159948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01064937512106169,"score_gpt":0.1891764561901973,"score_spread":0.1785270810691356,"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."}}