{"id":"W4231461450","doi":"10.1088/1757-899x/1171/1/011001","title":"Preface","year":2021,"lang":"en","type":"article","venue":"IOP Conference Series Materials Science and Engineering","topic":"Material Properties and Applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gratitude; Library science; Relevance (law); Engineering ethics; Pleasure; Political science; Engineering; Computer science; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004711953,0.000158212,0.0002048708,0.00004795096,0.0003074343,0.0009537261,0.0002947449,0.00004425235,0.001496566],"category_scores_gemma":[0.0001705392,0.0001388,0.0000122321,0.0002623792,0.0003274434,0.0008574057,0.0003000531,0.00004326008,0.0001080664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003127243,"about_ca_system_score_gemma":0.0002370369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004037973,"about_ca_topic_score_gemma":0.000004638418,"domain_scores_codex":[0.9986065,0.00001566096,0.0002374499,0.000429024,0.000297543,0.0004137938],"domain_scores_gemma":[0.9991466,0.00001207501,0.00004818353,0.0003203292,0.0003307733,0.0001420023],"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":[0.000006378041,0.000007530629,0.000002244445,0.0000503323,0.000001069207,0.000004492736,0.0001585287,0.00004533436,0.9809995,0.0184183,0.00003654869,0.0002697292],"study_design_scores_gemma":[0.00007453649,0.00002357141,0.0004990441,0.00004001595,0.000004725287,0.00006074606,0.0001852805,0.0001159594,0.9904147,0.0002225313,0.008163743,0.0001951873],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996638,0.00008122712,0.0003613397,0.0006216183,0.0007644286,0.000102779,0.0000299455,0.0001525696,0.001248097],"genre_scores_gemma":[0.9960575,0.00009548292,0.003168141,0.00008143829,0.000106771,0.00004073358,0.000004328241,0.00001266965,0.0004329217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01819577,"threshold_uncertainty_score":0.9994162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01961759269805395,"score_gpt":0.2192947673611152,"score_spread":0.1996771746630613,"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."}}