{"id":"W4409576378","doi":"10.61091/jcmcc127a-112","title":"Research on the Intelligent Development Path of Civic Education Theory System in the New Era Based on Deep Learning","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Reforms and Innovations","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Path (computing); Mathematics education; Engineering ethics; Political science; Computer science; Artificial intelligence; Sociology; Cognitive science; Psychology; Engineering","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":[0.006902825,0.0001259321,0.0002287275,0.0002178706,0.0003995275,0.00009661782,0.0004609508,0.00006510272,0.00002163721],"category_scores_gemma":[0.000765539,0.00007161509,0.0000571879,0.0008431231,0.00008811799,0.00006211773,0.0001046437,0.0007238017,0.000005049171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003610173,"about_ca_system_score_gemma":0.0004627914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000223912,"about_ca_topic_score_gemma":0.00000123284,"domain_scores_codex":[0.9977304,0.0003522231,0.0007461051,0.0001263245,0.0008603089,0.0001846869],"domain_scores_gemma":[0.9965838,0.002546013,0.0004515176,0.0001928825,0.0001790658,0.00004671946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000483857,0.0006488513,0.0004252742,0.00005888846,0.00001381178,6.274243e-7,0.002448747,0.001053098,0.00004796102,0.9859164,0.0004276279,0.008910338],"study_design_scores_gemma":[0.001598582,0.001001681,0.009159513,0.002603537,0.00003333288,0.000009227485,0.02543385,0.01216751,0.001460306,0.939633,0.006668538,0.0002308826],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9723808,0.00007004927,0.003290397,0.001059948,0.004156381,0.0004321714,1.560764e-7,0.000006667246,0.01860344],"genre_scores_gemma":[0.9988354,0.000005299559,0.0007978751,0.00009601973,0.0002190912,0.000006316591,7.000318e-7,0.000007970745,0.00003135779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04628336,"threshold_uncertainty_score":0.3144598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02203538519319486,"score_gpt":0.3043520011999797,"score_spread":0.2823166160067849,"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."}}