{"id":"W1490263600","doi":"10.5772/10593","title":"In-Situ Deposition of Metal Matrix Composite in Fe-Ti-C System Using Laser Cladding Process","year":2011,"lang":"en","type":"book-chapter","venue":"InTech eBooks","topic":"High Entropy Alloys Studies","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Materials science; Composite number; In situ; Cladding (metalworking); Metal; Metal matrix composite; Deposition (geology); Composite material; Matrix (chemical analysis); Laser; Metallurgy; Chemical engineering; Optics; Chemistry; Geology","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":[0.00005889927,0.0002094862,0.0002580443,0.0001108365,0.0002212594,0.0002133523,0.0003778232,0.0002491012,0.00163995],"category_scores_gemma":[0.00005786227,0.0002165154,0.0001591032,0.0001370526,0.00009638748,0.0002705088,0.0001795747,0.0003746456,0.0004180416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002157103,"about_ca_system_score_gemma":0.0001317332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005310117,"about_ca_topic_score_gemma":0.002266587,"domain_scores_codex":[0.9999474,0.00000169855,0.000001527708,0.00001502768,0.00002505984,0.000009264238],"domain_scores_gemma":[0.9999754,0.00000604966,0.000005966705,0.000004574089,0.000004966732,0.000003009808],"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":[0.00001226201,0.00000470557,0.00001713623,0.00005144437,0.00000125784,0.00002850967,0.00001396888,0.00005591326,0.9984716,0.00005995112,0.0000801878,0.001203091],"study_design_scores_gemma":[0.000001983545,0.00003092975,0.0003395035,0.000003413145,0.000002966382,0.00007032288,0.000009634671,0.0006831239,0.9973266,0.00001472446,0.001514909,0.00000177995],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9614244,0.00323877,0.01196005,0.0001472435,0.0001670454,0.00004745209,0.000329455,0.0003810089,0.02230461],"genre_scores_gemma":[0.9506209,0.00171088,0.01640635,0.00004672927,0.00002002347,0.00003156375,0.0002636112,0.000105628,0.03079436],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.00163995,"threshold_uncertainty_score":0.00548619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02000832496750453,"score_gpt":0.2431498434202733,"score_spread":0.2231415184527688,"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."}}