{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002214332,0.00009803152,0.0001892515,0.0001392403,0.0000151849,0.000006936445,0.0000612821,0.00004957414,0.00003788055],"category_scores_gemma":[0.00005157538,0.00009743427,0.00002896714,0.0002394509,0.00002110636,0.0001030535,0.00002951424,0.00007831065,0.00001339472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001494805,"about_ca_system_score_gemma":0.000004676152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002987288,"about_ca_topic_score_gemma":0.002909748,"domain_scores_codex":[0.9992139,0.00001270132,0.0002821925,0.00009761022,0.0001021875,0.0002913854],"domain_scores_gemma":[0.9996806,0.0001542149,0.00001863248,0.0001062748,0.00001096494,0.00002935135],"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":[0.0000241884,0.00004448932,0.04617917,0.0001666095,0.00003863893,0.00009498688,0.0007548046,0.07950712,0.8715555,0.00085941,0.0002776076,0.0004974992],"study_design_scores_gemma":[0.0002109468,0.000006854243,0.02742959,0.00007987888,0.00001542359,0.000002586877,0.0007757264,0.009429762,0.9617226,0.00004015439,0.0001171211,0.0001693204],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891462,0.0001232313,0.0006868139,0.00002029402,0.00009820392,0.0000672111,0.000001119278,0.0000615782,0.009795338],"genre_scores_gemma":[0.9950376,0.00002361826,0.004829938,0.000007620663,0.00003254147,0.000002989623,1.301829e-7,0.00002026426,0.00004531753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09016715,"threshold_uncertainty_score":0.3973254,"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."}}