{"id":"W4379535585","doi":"10.5539/jmsr.v12n1p65","title":"Reviewer acknowledgements for Journal of Materials Science Research, Vol. 12, No. 1","year":2023,"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; Computer science; Engineering","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":[0.03740281,0.001974303,0.005212067,0.006710973,0.004557061,0.00870286,0.004488291,0.01675875,0.07870753],"category_scores_gemma":[0.3749778,0.001464935,0.003753079,0.00289456,0.002641424,0.005694211,0.003554962,0.01100912,0.05347595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004500887,"about_ca_system_score_gemma":0.01175949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002914205,"about_ca_topic_score_gemma":0.006196181,"domain_scores_codex":[0.9580621,0.006395412,0.007947856,0.00284144,0.02287571,0.001877517],"domain_scores_gemma":[0.2502927,0.02850108,0.0124985,0.006003791,0.6920735,0.01063037],"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":[0.00003202615,0.000004296194,0.00007556342,0.0003041001,0.000007247308,0.00004677783,0.00002682393,0.000006534142,0.00004960847,0.000106431,0.9959526,0.00338794],"study_design_scores_gemma":[0.0001510595,0.00005057434,0.0009455053,0.002117292,0.00006836374,0.0008280471,0.0003141743,0.0002045204,0.0003635915,0.001390418,0.993461,0.0001053896],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0001499215,0.003080667,0.001054863,0.1998274,0.791281,0.0003981879,0.0006789288,0.0004052231,0.003123914],"genre_scores_gemma":[0.004590072,0.008146078,0.003849193,0.2889251,0.6242266,0.002001839,0.001711669,0.001186576,0.06536288],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07870753,"threshold_uncertainty_score":0.2633029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.150849517875085,"score_gpt":0.4789561511910376,"score_spread":0.3281066333159526,"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."}}