{"id":"W2146677753","doi":"10.1088/1468-6996/12/2/025003","title":"Experimental study of the Ca–Mg–Zn system using diffusion couples and key alloys","year":2011,"lang":"en","type":"article","venue":"Science and Technology of Advanced Materials","topic":"Magnesium Alloys: Properties and Applications","field":"Materials Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; General Motors of Canada; Concordia University","keywords":"Key (lock); Materials science; Diffusion; Metallurgy; Engineering physics; Thermodynamics; Computer science; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000433549,0.0006061889,0.0006920422,0.0006112861,0.0009459078,0.000343462,0.0008978902,0.0005861087,0.001880787],"category_scores_gemma":[0.0004897682,0.0006059758,0.0002138678,0.0008371398,0.0004566553,0.0004289119,0.0005533902,0.0004571222,0.000635253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006298876,"about_ca_system_score_gemma":0.0004144516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001788981,"about_ca_topic_score_gemma":0.0030259,"domain_scores_codex":[0.9994925,0.00004180427,0.00004661504,0.0001768579,0.0001904968,0.00005174538],"domain_scores_gemma":[0.9997776,0.00003659575,0.00004181443,0.00004621529,0.00007339032,0.00002434171],"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":[0.0001116505,0.00002520953,0.0003636666,0.000138735,0.000005349212,0.00005323408,0.00008598434,0.0001426381,0.9979565,0.0001688283,0.00004030632,0.0009078323],"study_design_scores_gemma":[0.00005345483,0.0002942591,0.002371306,0.00001135255,0.00002169787,0.000111788,0.00005665616,0.0009198799,0.9924983,0.00005625671,0.003593075,0.00001190539],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990944,0.0007847646,0.005131515,0.00005030938,0.00002154275,0.0002708239,0.0005794242,0.00008714278,0.00213059],"genre_scores_gemma":[0.976589,0.0008210106,0.01945978,0.00003162752,0.00001365617,0.0002943114,0.0004755328,0.00006307827,0.002252072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001880787,"threshold_uncertainty_score":0.006291866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02165594081607358,"score_gpt":0.250466529131403,"score_spread":0.2288105883153294,"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."}}