{"id":"W2187481934","doi":"","title":"EFFECTS OF CHEMICAL COMPOSITION ON SOLIDIFICATION, MICROSTRUCTURE AND HARDNESS OF Co-Cr-W-Ni and Co-Cr-Mo-Ni ALLOY SYSTEMS","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced materials and composites","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Microstructure; Materials science; Metallurgy; Intermetallic; Alloy; Rockwell scale; Differential scanning calorimetry; Volume fraction; Carbide; Cobalt; Chemical composition; Composite material; Thermodynamics","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":[0.0001419928,0.0001772616,0.0002904864,0.0004253064,0.0002851814,0.0003348537,0.000195358,0.00021397,0.0009108759],"category_scores_gemma":[0.0005787293,0.00024032,0.0001717626,0.000288283,0.0002043418,0.0002437466,0.0001555022,0.0001998087,0.0001737322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003143684,"about_ca_system_score_gemma":0.0001909173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001632951,"about_ca_topic_score_gemma":0.004509752,"domain_scores_codex":[0.9997566,0.00002810835,0.00002048687,0.00003655247,0.0001258138,0.00003233277],"domain_scores_gemma":[0.999777,0.00005139244,0.0000526979,0.00001712607,0.00007244338,0.00002932935],"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":[0.0002729013,0.0000226534,0.002237249,0.00006585482,0.00002076736,0.00007251716,0.00004552026,0.0006797473,0.9942067,0.00006787966,0.00001272363,0.002295444],"study_design_scores_gemma":[0.000007900443,0.0003821793,0.01656408,0.000003421448,0.00002932466,0.0001229885,0.0000595784,0.002136241,0.9799877,0.00002691265,0.0006724253,0.000007130149],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983021,0.000423751,0.0004743962,0.000009181001,0.000004031095,0.00001075272,0.00005548682,0.00001261602,0.0007075734],"genre_scores_gemma":[0.9984907,0.0002000661,0.0005745993,0.000004895353,0.000002227522,0.00000714392,0.00009427355,0.00001247283,0.0006135986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001632951,"threshold_uncertainty_score":0.003246844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002776512424379455,"score_gpt":0.2086548766921154,"score_spread":0.2058783642677359,"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."}}