{"id":"W2896131747","doi":"10.2351/1.5061026","title":"In-situ synthesis of titanium carbide particles in iron matrix using laser cladding","year":2007,"lang":"en","type":"article","venue":"","topic":"High Entropy Alloys Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Materials science; Composite material; Cladding (metalworking); Titanium carbide; Coating; Composite number; Graphite; Matrix (chemical analysis); Titanium; Carbide; In situ; Indentation hardness; Scanning electron microscope; Metallurgy; Microstructure","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":[0.0001212561,0.000218414,0.0001932314,0.0001974367,0.0001664444,0.0002252488,0.0002621008,0.000262901,0.0006247965],"category_scores_gemma":[0.0001384868,0.0002083141,0.0001979247,0.0001207774,0.0001927682,0.0001332504,0.0001185674,0.000237378,0.0002186799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003631463,"about_ca_system_score_gemma":0.0001739009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001102275,"about_ca_topic_score_gemma":0.003925442,"domain_scores_codex":[0.9999237,0.000006671317,0.00000442483,0.00001940823,0.00003175316,0.0000140331],"domain_scores_gemma":[0.9998928,0.00002613989,0.00002984893,0.00001598875,0.00001948545,0.00001574609],"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":[0.00001021374,0.000005776068,0.00002706292,0.00002481321,0.000001185602,0.00002720716,0.00001374313,0.0001014184,0.9993511,0.00003589445,0.000009001365,0.0003926191],"study_design_scores_gemma":[0.000002207953,0.00003870932,0.0002007217,0.000001078602,0.000002038679,0.00002600955,0.000004930442,0.0004771425,0.998908,0.000005276472,0.0003326227,0.000001172179],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884953,0.0004606769,0.007702084,0.00003366789,0.00002592986,0.00003639628,0.00009388098,0.00009613049,0.003055832],"genre_scores_gemma":[0.9849798,0.000315234,0.01150036,0.00001184976,0.000006091002,0.00001313542,0.00007752294,0.00003010115,0.003065899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001102275,"threshold_uncertainty_score":0.002634764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01200327008139645,"score_gpt":0.2520003392412916,"score_spread":0.2399970691598952,"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."}}