{"id":"W2538210275","doi":"10.1007/s40962-016-0098-3","title":"On the Enhancement of the Impact Toughness of A319 Alloys: Role of Mg Content and Melt Treatment","year":2016,"lang":"en","type":"article","venue":"International Journal of Metalcasting","topic":"High Temperature Alloys and Creep","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Materials science; Toughness; Structural material; Metallurgy; Composite material; Fracture toughness; Forensic engineering","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":[0.0001508797,0.0002978491,0.0002914951,0.0002402323,0.0002691302,0.0002256905,0.0002405883,0.0003618772,0.0027516],"category_scores_gemma":[0.0003194822,0.0001636673,0.0002860102,0.0002253377,0.0002483766,0.0002888371,0.0001697692,0.0003245726,0.0003846483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001923933,"about_ca_system_score_gemma":0.0002160155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001829838,"about_ca_topic_score_gemma":0.002796212,"domain_scores_codex":[0.9998909,0.000008231951,0.000008660561,0.00002996644,0.00003751279,0.00002464403],"domain_scores_gemma":[0.9997937,0.00008090323,0.00004698117,0.00001717565,0.00004350327,0.00001780606],"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":[0.0005316674,0.00002855195,0.0002660133,0.00008048552,0.000006122125,0.00006333693,0.00004598478,0.000339762,0.9963312,0.00007261656,0.00004322838,0.002191067],"study_design_scores_gemma":[0.00000754914,0.0002685421,0.003299952,0.000006533386,0.00001992457,0.00003578875,0.0000360069,0.001654096,0.993955,0.00003065469,0.0006780691,0.00000795881],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960173,0.001465149,0.0006895055,0.00005523716,0.00003252292,0.0000146514,0.0001216625,0.00003247631,0.001571473],"genre_scores_gemma":[0.9977977,0.0004844766,0.000413982,0.00001601006,0.000007900469,0.000005129777,0.00006937733,0.00001748902,0.001187873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0027516,"threshold_uncertainty_score":0.009204984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01946063974227092,"score_gpt":0.2449073141382385,"score_spread":0.2254466743959676,"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."}}