{"id":"W2745455416","doi":"10.1115/1.4037604","title":"An Experimental and Simulation Study for Powder Injection Multitrack Laser Cladding of P420 Stainless Steel on AISI 1018 Steel for Selected Mechanical Properties","year":2017,"lang":"en","type":"article","venue":"Journal of Manufacturing Science and Engineering","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Ontario Centres of Excellence","keywords":"Materials science; Indentation hardness; Cladding (metalworking); Residual stress; Metallurgy; Composite material; Thermal; Finite element method; Carbon steel; Substrate (aquarium); Coaxial; Microstructure; Mechanical engineering; Structural engineering; Corrosion","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000583181,0.0001648558,0.0002507499,0.0001888497,0.0003233308,0.0002710051,0.000192371,0.0000494991,0.000002042061],"category_scores_gemma":[0.0002006767,0.0001344332,0.00002869511,0.00003535786,0.00005779167,0.0009128585,0.00003302579,0.0001025412,7.004191e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006205626,"about_ca_system_score_gemma":0.00002555365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004740737,"about_ca_topic_score_gemma":0.000001931,"domain_scores_codex":[0.9990544,0.000008252121,0.0002977013,0.0001758865,0.000244019,0.000219726],"domain_scores_gemma":[0.9993382,0.00008439017,0.0001622163,0.0001293192,0.0001973436,0.0000885901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001940466,0.00007936845,0.00008169407,0.0003272356,0.00003831834,0.000001507175,0.001061381,0.542102,0.4533872,0.00001040336,0.000004252027,0.002712687],"study_design_scores_gemma":[0.0007643376,0.0009868679,0.01999384,0.0001279051,0.00002183591,0.000007341854,0.0007041691,0.09628911,0.8808888,0.0000130887,0.00004738671,0.0001553305],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948738,0.00004183024,0.004353581,0.000007997167,0.0003343779,0.000342017,0.00000880409,0.00003271806,0.000004916241],"genre_scores_gemma":[0.9986991,0.000006202383,0.001084353,0.00000388739,0.0001619949,0.00001514259,5.710823e-7,0.0000246973,0.000004110412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4458129,"threshold_uncertainty_score":0.5482025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02659773216970828,"score_gpt":0.2803948243503482,"score_spread":0.2537970921806399,"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."}}