{"id":"W2073897582","doi":"10.4028/www.scientific.net/msf.638-642.769","title":"Microstructural and Mechanical Characterization of Gray Cast Iron and AlSi Alloy after Laser Beam Hardening","year":2010,"lang":"en","type":"article","venue":"Materials science forum","topic":"High Entropy Alloys Studies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Linguistic Association","funders":"","keywords":"Materials science; Microstructure; Gray iron; Alloy; Scanning electron microscope; Indentation hardness; Hardening (computing); Laser; Cast iron; Metallurgy; Energy-dispersive X-ray spectroscopy; Composite material; Work hardening; Layer (electronics); 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":[0.0001879455,0.0001187974,0.000171122,0.00006468882,0.0001076475,0.0001356377,0.0001015443,0.00004878463,0.00006787185],"category_scores_gemma":[0.00002935051,0.0001004897,0.0000105687,0.00007994677,0.0002921156,0.0003067102,0.000145658,0.00005387565,0.000004398973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001074674,"about_ca_system_score_gemma":0.0000071579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001181347,"about_ca_topic_score_gemma":0.00002492975,"domain_scores_codex":[0.9991992,0.000007156629,0.0001826834,0.0001873808,0.0001381203,0.0002854592],"domain_scores_gemma":[0.9997422,0.000008901196,0.00003742846,0.000115278,0.00003364685,0.00006256725],"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":[0.000009640745,0.000002202026,0.001374824,0.00003864184,0.000002797923,0.000001469293,0.000200764,0.000004121322,0.9981897,0.00007259192,0.000005947077,0.00009725466],"study_design_scores_gemma":[0.0001234767,0.00002536933,0.04659315,0.00001498375,0.000006968755,0.00002117295,0.0000320317,0.0001664412,0.952619,0.00003239177,0.0002518218,0.0001131713],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986615,0.00001366039,0.00004918486,0.00007854868,0.0009659143,0.0001123888,0.00005846383,0.00004931339,0.00001108984],"genre_scores_gemma":[0.999004,0.0000196543,0.0008573572,0.00002249381,0.00004964583,0.00001153255,0.00000528535,0.00001358038,0.0000164617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04557072,"threshold_uncertainty_score":0.4097852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003143085570627448,"score_gpt":0.190996928645199,"score_spread":0.1878538430745715,"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."}}