{"id":"W4247891029","doi":"10.1088/1757-899x/787/1/011001","title":"Preface","year":2020,"lang":"en","type":"article","venue":"IOP Conference Series Materials Science and Engineering","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Engineering; Automotive industry; Engineering management; Aeronautics; Political science","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":[],"consensus_categories":[],"category_scores_codex":[0.0002129787,0.0001442896,0.0002008958,0.00005827978,0.00009403597,0.0001912957,0.0002552891,0.00009018426,0.00005442539],"category_scores_gemma":[0.0001147377,0.0001385216,0.000009600667,0.0002810272,0.0001595002,0.0005388845,0.00006390825,0.0001034311,0.00002897552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002205576,"about_ca_system_score_gemma":0.00004245705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005590391,"about_ca_topic_score_gemma":7.328402e-7,"domain_scores_codex":[0.9991508,0.000004862447,0.0001758926,0.0001954407,0.0001550968,0.0003178926],"domain_scores_gemma":[0.9996709,0.000007725824,0.0000173702,0.0001193545,0.00006180537,0.000122877],"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":[0.000006450719,7.988965e-7,0.000005524525,0.00005101125,0.000005249125,0.000003352479,0.0002412985,0.001083129,0.9909323,0.006553511,0.00005495359,0.0010624],"study_design_scores_gemma":[0.0001894759,0.00006690022,0.0002735734,0.00003901499,0.000006532135,0.00001996129,0.0002017807,0.01160598,0.9794359,0.00005879016,0.007836454,0.0002656764],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948813,0.0001030845,0.001151841,0.0006518623,0.0007693971,0.0001533571,0.00001052337,0.0008431933,0.001435475],"genre_scores_gemma":[0.9994849,0.00004818674,0.0002235015,0.00004398328,0.0001474108,0.00002008521,8.991478e-7,0.00001308598,0.00001796559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01149646,"threshold_uncertainty_score":0.5648746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01802050282911479,"score_gpt":0.1874911771316057,"score_spread":0.1694706743024909,"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."}}