{"id":"W4409603307","doi":"10.61091/jcmcc127b-142","title":"Research on the Optimization Method of Japanese Text Information Dissemination Path Based on Graph Theory","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"China Scholarship Council","keywords":"Computer science; Path (computing); Graph theory; Graph; Theoretical computer science; Information retrieval; Mathematics; Combinatorics; Computer network","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":[0.001577672,0.0009690901,0.0008471911,0.001794945,0.0008027698,0.001519697,0.001302999,0.0009596513,0.00347563],"category_scores_gemma":[0.007157026,0.0004647488,0.0009483069,0.001715912,0.0007672628,0.003922013,0.0009598584,0.00113576,0.0003376611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002366626,"about_ca_system_score_gemma":0.002430646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009943641,"about_ca_topic_score_gemma":0.005433436,"domain_scores_codex":[0.9989297,0.0004667462,0.0000420483,0.000235385,0.0002096333,0.0001165286],"domain_scores_gemma":[0.9970294,0.002003349,0.0002724652,0.0001306843,0.0004477497,0.0001164177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008207137,0.0000701035,0.002655961,0.0003862832,0.00008362068,0.0001209775,0.0003548035,0.8023216,0.002367082,0.1115264,0.004292742,0.07573837],"study_design_scores_gemma":[0.00001234614,0.00003857228,0.0003880668,0.0000157395,0.00003087534,0.00004093014,0.0000862231,0.9755201,0.0004688043,0.02147037,0.001914201,0.00001363542],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03902311,0.001146157,0.9497314,0.0007742286,0.00007628554,0.0001414264,0.0001585581,0.0002141806,0.008734703],"genre_scores_gemma":[0.793767,0.003514878,0.1905089,0.0002214802,0.0001043353,0.0004901997,0.00052487,0.0002040341,0.01066436],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009943641,"threshold_uncertainty_score":0.01977152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01581712061942868,"score_gpt":0.3401000032793355,"score_spread":0.3242828826599068,"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."}}