{"id":"W4243398948","doi":"10.5539/jmsr.v7n2p42","title":"Reviewer acknowledgements for Journal of Materials Science Research, Vol. 7, No. 2","year":2018,"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 physics; Library science; Engineering ethics; 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":[0.04073191,0.002215462,0.005458291,0.00688454,0.004450851,0.008907421,0.004758365,0.01736682,0.07117006],"category_scores_gemma":[0.4185389,0.001533497,0.004215986,0.003101321,0.002975167,0.006689314,0.004072005,0.01189708,0.04706884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004890789,"about_ca_system_score_gemma":0.01151968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002717387,"about_ca_topic_score_gemma":0.004999203,"domain_scores_codex":[0.9523967,0.007768944,0.009845123,0.003148943,0.02463308,0.002207104],"domain_scores_gemma":[0.2175636,0.02818291,0.0136474,0.006643964,0.7235382,0.01042403],"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":[0.00004038178,0.00000518746,0.0001044916,0.0004060821,0.00001026996,0.00007442393,0.00004530479,0.000009345393,0.00006471362,0.0001503177,0.9949208,0.004168669],"study_design_scores_gemma":[0.0001833731,0.00005215722,0.001003553,0.002749059,0.00008073392,0.001203169,0.0004495314,0.0002631826,0.0004421022,0.001774223,0.9916704,0.0001285398],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0001962894,0.003286673,0.00130996,0.2007895,0.7898551,0.000446749,0.0005995731,0.0004363659,0.003079862],"genre_scores_gemma":[0.006148479,0.007746454,0.004291072,0.2790705,0.6409439,0.002286698,0.001430948,0.001329625,0.05675236],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07117006,"threshold_uncertainty_score":0.2380876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1219111878953562,"score_gpt":0.4776275872018628,"score_spread":0.3557163993065066,"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."}}