{"id":"W4409787600","doi":"10.61091/jcmcc127a-317","title":"Research on the Path of Enhancing Teaching Effect of Data Visualization Technology in Civic and Political Education in Colleges and Universities","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":"Politics; Path (computing); Visualization; Mathematics education; Political science; Sociology; Engineering ethics; Pedagogy; Psychology; Computer science; Engineering; Artificial intelligence; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002068805,0.0004346479,0.0003613713,0.001552897,0.0006598149,0.002410544,0.0006842962,0.0006000909,0.003001031],"category_scores_gemma":[0.007961603,0.0002377028,0.0005585036,0.001661377,0.0005208478,0.003463588,0.0008443556,0.0007898355,0.0003618302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007609244,"about_ca_system_score_gemma":0.001466052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002952126,"about_ca_topic_score_gemma":0.001956289,"domain_scores_codex":[0.9985107,0.0008026398,0.00005955808,0.000194361,0.0002764406,0.0001564717],"domain_scores_gemma":[0.9965379,0.00190814,0.0002199129,0.000308596,0.0007244973,0.0003009562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004121724,0.001452439,0.06469701,0.001006381,0.0001387811,0.0002278934,0.004081145,0.01296795,0.01926122,0.02740873,0.006172691,0.8621736],"study_design_scores_gemma":[0.0003118384,0.003019459,0.1879036,0.000942854,0.0008394991,0.0008098292,0.01843699,0.5424815,0.1101359,0.03716284,0.09768099,0.0002747344],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7834398,0.005644662,0.1750373,0.004652297,0.0004136625,0.0003288764,0.0002099873,0.001628776,0.02864461],"genre_scores_gemma":[0.9454196,0.0020921,0.04942216,0.0001331385,0.00006113542,0.00008863235,0.00009019345,0.00004089473,0.002652141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003001031,"threshold_uncertainty_score":0.01094103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01642424008361231,"score_gpt":0.350481424433303,"score_spread":0.3340571843496907,"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."}}