{"id":"W4390581146","doi":"10.5539/jmsr.v12n2p115","title":"Reviewer acknowledgements for Journal of Materials Science Research, Vol. 12, No. 2","year":2024,"lang":"en","type":"article","venue":"Journal of Materials Science Research","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Materials science; Engineering ethics; Library science; Engineering physics; Engineering; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03393429,0.002050836,0.005025545,0.006290164,0.004275124,0.008484705,0.004392835,0.01683269,0.07803638],"category_scores_gemma":[0.3385759,0.001457985,0.003760281,0.002646395,0.002553905,0.005501118,0.003413739,0.0108062,0.05335017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004137833,"about_ca_system_score_gemma":0.01057533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002831299,"about_ca_topic_score_gemma":0.005794451,"domain_scores_codex":[0.962286,0.005521676,0.006914995,0.00251203,0.02105409,0.001711227],"domain_scores_gemma":[0.2784288,0.02563919,0.0112495,0.005889847,0.6682047,0.01058798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003253134,0.000004295773,0.00007017025,0.0002745611,0.00000727709,0.00005141085,0.00002409755,0.000006630885,0.00005515664,0.00009830821,0.9961705,0.003205079],"study_design_scores_gemma":[0.0001648721,0.00005330077,0.0009427604,0.001904879,0.00006839459,0.0009151727,0.0003034724,0.0002345129,0.0004035081,0.001350389,0.9935529,0.000105892],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0001466158,0.002743437,0.001075706,0.1781171,0.8134036,0.000385857,0.0006074657,0.0004035487,0.003116652],"genre_scores_gemma":[0.004542415,0.007129948,0.003610359,0.2747133,0.6357697,0.001903295,0.0015766,0.001151437,0.069603],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.07803638,"threshold_uncertainty_score":0.2610577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1184991632449734,"score_gpt":0.4744217256528125,"score_spread":0.3559225624078391,"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."}}