{"id":"W109195338","doi":"10.1023/a:1022889100360","title":"Synthesis of Mg-Ti alloy by mechanical alloying","year":2003,"lang":"en","type":"article","venue":"Journal of Materials Science","topic":"Magnesium Alloys: Properties and Applications","field":"Materials Science","cited_by":139,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hydrogenics (Canada)","funders":"","keywords":"Materials science; Alloy; Solubility; Annealing (glass); Nanocrystalline material; Dissolution; Solid solution; Supersaturation; Metallurgy; Thermal decomposition; Chemical engineering; Crystallography; Physical chemistry; Thermodynamics; Nanotechnology; Organic chemistry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004307424,0.0001451297,0.0004131423,0.000115674,0.0002146122,0.0001772618,0.0009680972,0.00005744149,0.001537315],"category_scores_gemma":[0.001037012,0.0001042615,0.00007414495,0.0003071518,0.0004349683,0.0005440833,0.0001046015,0.00006832097,0.00004145602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005624067,"about_ca_system_score_gemma":0.0003169113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004420831,"about_ca_topic_score_gemma":0.000001298725,"domain_scores_codex":[0.9975163,0.0001603433,0.0008982349,0.0002533633,0.0008014622,0.0003703297],"domain_scores_gemma":[0.998197,0.0001318022,0.000778817,0.0003231898,0.0003841507,0.0001850757],"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":[0.00002698774,0.00008571448,0.00001325513,0.00002865566,0.000002646083,0.000002420119,0.00005016866,0.00002039957,0.9939706,0.005135115,0.0005561076,0.0001079495],"study_design_scores_gemma":[0.0001531352,0.0001111165,0.00008451704,0.0000515866,0.00002422978,0.00008733476,0.0001347289,0.000009927841,0.9957752,0.0005282498,0.002915441,0.0001245278],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974307,0.0001104878,0.0004241461,0.0003543858,0.0007103943,0.0001107305,0.00002084869,0.00001348876,0.0008248484],"genre_scores_gemma":[0.990344,0.00005847402,0.009304876,0.0001097401,0.00006632903,0.000009217539,1.596563e-7,0.00001230046,0.00009486608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00888073,"threshold_uncertainty_score":0.9993754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01766364973779765,"score_gpt":0.2473953148800333,"score_spread":0.2297316651422356,"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."}}