{"id":"W1573164404","doi":"10.3968/4443","title":"The Executive Ability of the Grass Roots Civil Servants Based on the Correlation Between Policy and Executive Ability","year":2014,"lang":"en","type":"article","venue":"Canadian social science","topic":"Engineering Education and Technology","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Civil servants; Correctness; Element (criminal law); Argument (complex analysis); Perspective (graphical); Civil servant; Position (finance); Executive summary; Management; Point (geometry); Political science; Computer science; Sociology; Law; Business; Economics; Mathematics; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001421467,0.00007783753,0.00008397751,0.00007653915,0.001043213,0.00008150706,0.001051199,0.00006150727,0.000001490185],"category_scores_gemma":[0.001688336,0.0000452758,0.00003173154,0.001254861,0.001343337,0.00011286,0.00009437048,0.0001762654,0.000002719013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003697444,"about_ca_system_score_gemma":0.0009584058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003790556,"about_ca_topic_score_gemma":0.01093383,"domain_scores_codex":[0.9989248,0.0001392139,0.0001226819,0.0002550764,0.0002594525,0.0002987958],"domain_scores_gemma":[0.9985638,0.00058773,0.00008140125,0.0005024216,0.000139857,0.000124843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000001091499,0.00001206489,0.09667544,0.000004758662,0.000003607282,1.051787e-7,0.001723588,0.00004243656,0.0001797054,0.8843964,0.001099067,0.01586175],"study_design_scores_gemma":[0.00005775224,0.00002071583,0.9650481,0.00000770394,0.000002320687,3.218641e-7,0.0001599735,0.01172098,0.0003153805,0.01338765,0.009203896,0.00007520236],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7215553,0.00002000265,0.03314592,0.1173491,0.001421924,0.00111561,0.00004499747,0.0001447322,0.1252024],"genre_scores_gemma":[0.9992542,5.062608e-7,0.00006907789,0.0005655981,0.00004483706,0.00001056425,2.97515e-7,0.000002428166,0.00005243823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8710088,"threshold_uncertainty_score":0.8023658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01023604939805606,"score_gpt":0.2437362689200805,"score_spread":0.2335002195220245,"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."}}