{"id":"W2572756246","doi":"10.1007/s40962-016-0130-7","title":"Inclusion Measurement and Identification in Mg-Based Alloys: Application of the Brightimeter Technique","year":2017,"lang":"en","type":"article","venue":"International Journal of Metalcasting","topic":"Magnesium Alloys: Properties and Applications","field":"Materials Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Materials science; Inclusion (mineral); Magnesium; Spinel; Metallurgy; Alloy; Oxide; Aluminium; Metal; Structural material; Flux (metallurgy); Non-metallic inclusions; Analytical Chemistry (journal); Mineralogy; 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":[],"consensus_categories":[],"category_scores_codex":[0.002019758,0.00006929491,0.000122305,0.00009458698,0.0002349192,0.000101947,0.0008252741,0.00003250479,0.00002095348],"category_scores_gemma":[0.0004551582,0.00004613448,0.00006049966,0.0000411362,0.00009877789,0.0002591766,0.000370903,0.00008988677,0.000001816391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007451296,"about_ca_system_score_gemma":0.00005920474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001872525,"about_ca_topic_score_gemma":0.00005604696,"domain_scores_codex":[0.9985397,0.00006483075,0.0005455337,0.0001170231,0.0006592845,0.00007357083],"domain_scores_gemma":[0.9978982,0.00003874443,0.00117748,0.0002450894,0.0006158162,0.00002468625],"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":[0.00002629067,0.00005196308,0.002089142,0.0000118437,0.000006804621,9.055327e-7,0.00007895442,0.0001763686,0.9859858,0.000335504,0.00000760539,0.01122886],"study_design_scores_gemma":[0.0004371564,0.00002536525,0.0535885,0.0001691124,0.00002598382,0.0000312366,0.00002994272,0.004801718,0.9384128,0.00144976,0.0009545125,0.0000738817],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.949702,0.0001184507,0.04661962,0.002663052,0.0003111449,0.0002707685,0.00000495726,0.000005406493,0.0003045655],"genre_scores_gemma":[0.9959987,0.000007674301,0.00382084,0.00004659199,0.00007978179,0.00002357067,5.074116e-7,0.000006065838,0.00001625783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05149936,"threshold_uncertainty_score":0.188131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03284274720059759,"score_gpt":0.2849311594622798,"score_spread":0.2520884122616822,"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."}}