{"id":"W4234558532","doi":"10.2140/jomms.2017.12.1","title":"Preface","year":2016,"lang":"en","type":"article","venue":"Journal of mechanics of materials and structures","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Materials science","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":[0.0007078007,0.0001210126,0.0003965638,0.0001093792,0.00002800504,0.00003117979,0.0001937249,0.00007994152,0.0004214336],"category_scores_gemma":[0.0001993526,0.0000618687,0.00005531791,0.00003618738,0.00002821869,0.0001879726,0.000058195,0.00004235483,0.000005196494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001781697,"about_ca_system_score_gemma":0.0000388409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004151348,"about_ca_topic_score_gemma":0.00000129944,"domain_scores_codex":[0.9988065,0.00009347957,0.000562617,0.00008585222,0.0003101573,0.0001413562],"domain_scores_gemma":[0.9986357,0.00005675418,0.0008802381,0.0001313343,0.000212706,0.00008325532],"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":[0.0003446608,0.000008984086,0.00001297454,0.00003320603,0.00005542013,0.00000649394,0.00006117556,0.000002682405,0.970339,0.02714849,0.000706956,0.00127996],"study_design_scores_gemma":[0.0008248544,0.0002424287,0.0009245108,0.00009812306,0.00004107615,0.0002056584,0.00003244791,8.208518e-7,0.8732106,0.1234296,0.0009113634,0.00007857531],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980568,0.0003673509,0.0005220559,0.0001423387,0.000686809,0.00005567127,0.0001364978,0.00000675429,0.00002572668],"genre_scores_gemma":[0.99748,0.0002325608,0.002037329,0.00001716654,0.0001855632,2.812677e-7,2.63025e-7,0.00002462045,0.00002226781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09712841,"threshold_uncertainty_score":0.4614402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01245829691316126,"score_gpt":0.2450691782462973,"score_spread":0.232610881333136,"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."}}