{"id":"W4214532895","doi":"10.1088/1757-899x/1136/1/011001","title":"Preface","year":2021,"lang":"en","type":"article","venue":"IOP Conference Series Materials Science and Engineering","topic":"Indian Economic and Social Development","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Excellence; Engineering; Technocracy; Engineering ethics; Sustainability; Engineering management; Management; Political science; Economics","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":[0.0004730442,0.0001018618,0.0002261684,0.00008091594,0.0001673553,0.0003771925,0.0001483225,0.0000442935,0.0005521624],"category_scores_gemma":[0.0001438974,0.0001239744,0.00001349082,0.0001807984,0.0001417803,0.0006140955,0.0001089874,0.00004316581,0.0001469093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007288714,"about_ca_system_score_gemma":0.000150489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002450192,"about_ca_topic_score_gemma":0.000003995528,"domain_scores_codex":[0.9990761,0.000002812498,0.0002719896,0.0003104203,0.00003758452,0.0003011387],"domain_scores_gemma":[0.999626,0.000006658683,0.00006360332,0.0001406811,0.00007573983,0.00008729827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000003686825,0.000009508083,0.0004338486,0.0000537968,0.00001167193,0.00001167685,0.00188879,0.00003729773,0.1213925,0.8755447,0.0000708329,0.0005416789],"study_design_scores_gemma":[0.0005036715,0.00006213434,0.08459464,0.00009313833,0.000005325104,0.00009280122,0.0014489,0.0005905535,0.794318,0.02062465,0.09652887,0.001137335],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860494,0.0001989895,0.0005397198,0.0004928856,0.001030897,0.00005918863,0.00003592483,0.00004365135,0.01154934],"genre_scores_gemma":[0.996668,0.0002412384,0.001869982,0.00009979224,0.00006117584,0.00001117902,0.000003675121,0.000008547407,0.001036391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8549201,"threshold_uncertainty_score":0.6045792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02190099960816016,"score_gpt":0.1848077880037665,"score_spread":0.1629067883956063,"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."}}