{"id":"W4406203383","doi":"10.61091/jcmcc123-06","title":"Visual Analysis and Comparison of Frontiers and Hotspots of Physical Education Teaching Research in China and America Based on Improved Genetic Algorithm Rough Sets","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Physical education; Mathematics education; Curriculum; China; Computer science; Psychology; Pedagogy; Political science","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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.001793169,0.0003903617,0.0005656643,0.01658465,0.0005924346,0.002275393,0.0004868569,0.0004519532,0.001749422],"category_scores_gemma":[0.005047911,0.0002121069,0.001280739,0.00970293,0.0004282577,0.0009941548,0.0009239951,0.0003559994,0.0001648897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001429387,"about_ca_system_score_gemma":0.001388668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02257396,"about_ca_topic_score_gemma":0.0173497,"domain_scores_codex":[0.999113,0.000226184,0.0000827542,0.0001506173,0.0003214021,0.0001059404],"domain_scores_gemma":[0.9967453,0.001671181,0.0003814041,0.0002189155,0.0008692477,0.0001138219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008871946,0.0002793576,0.2397304,0.001294494,0.000631554,0.0009495842,0.007298623,0.2268665,0.008909347,0.04580642,0.01217418,0.4551724],"study_design_scores_gemma":[0.0001713272,0.0002096118,0.4495409,0.0002426575,0.0004737331,0.0003071105,0.007973674,0.4963424,0.005086075,0.02426439,0.01517468,0.0002133741],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9016524,0.0008222993,0.0776235,0.0008750793,0.00007894144,0.0002996543,0.003893478,0.001168103,0.01358662],"genre_scores_gemma":[0.9432872,0.0003124404,0.0534602,0.00003926846,0.00001856489,0.0001473611,0.001463266,0.00004563113,0.00122608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9834154,"threshold_uncertainty_score":0.0448851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01912215387960804,"score_gpt":0.3733117203584934,"score_spread":0.3541895664788853,"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."}}