{"id":"W4248593915","doi":"10.1109/upcon.2017.8251139","title":"Guest of honour","year":2017,"lang":"en","type":"article","venue":"2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON)","topic":"Global Education Systems and Policies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Honour; Management; State (computer science); GRASP; Higher education; Political science; Engineering; Sociology; Law; Computer science; Economics; Software engineering","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":[0.0005066201,0.0001930424,0.0002708911,0.0002056109,0.001051282,0.0005768479,0.0007150503,0.0001745837,0.0001178373],"category_scores_gemma":[0.000113675,0.0001924424,0.0000947643,0.0001138021,0.0002708714,0.0004477342,0.00004545173,0.0003586054,0.00004353582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002157311,"about_ca_system_score_gemma":0.0005493488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002934952,"about_ca_topic_score_gemma":0.0009737635,"domain_scores_codex":[0.9981805,0.0001479694,0.000355101,0.0003692124,0.0005017674,0.0004454351],"domain_scores_gemma":[0.9985231,0.00008919344,0.0003716693,0.0003394323,0.0005034418,0.0001731844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009621285,0.0002820681,0.004032908,0.00001791015,0.0001962343,0.000002821838,0.002785497,0.00004066631,0.001160882,0.9298754,0.04927055,0.01223879],"study_design_scores_gemma":[0.001440667,0.001208148,0.01709493,0.0001516826,0.00005376947,0.00005968159,0.000371511,0.0176319,0.001754451,0.01158375,0.9478558,0.0007937591],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6347002,0.0005664801,0.0117234,0.01924374,0.02286293,0.001098672,0.00006321218,0.0002786697,0.3094627],"genre_scores_gemma":[0.9914294,0.001624642,0.000128551,0.0003303245,0.002833295,0.00002045549,0.000009818576,0.00001193325,0.003611559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9182917,"threshold_uncertainty_score":0.8085721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05888392294546618,"score_gpt":0.3675179626566157,"score_spread":0.3086340397111496,"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."}}