{"id":"W1941277775","doi":"10.3968/7523","title":"The Statistical Analysis of the Influence of Chinese Mathematical Journals Cited by Journal Citation Reports","year":2015,"lang":"en","type":"article","venue":"Cross-cultural communication","topic":"Advanced Decision-Making Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Impact factor; Citation; CITES; Immediacy; Citation analysis; Computer science; Statistics; Library science; Mathematics; Political science; Epistemology; Law; Philosophy","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":[0.007579978,0.0006650222,0.001029518,0.01628774,0.0008990194,0.002244013,0.000762675,0.0004022263,0.002641594],"category_scores_gemma":[0.05134358,0.0002034134,0.002131786,0.02066318,0.001171172,0.00177632,0.0009321541,0.0006989157,0.000533989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001124269,"about_ca_system_score_gemma":0.002382827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007474643,"about_ca_topic_score_gemma":0.004539158,"domain_scores_codex":[0.990333,0.001877273,0.001557992,0.001526693,0.004088408,0.0006165588],"domain_scores_gemma":[0.9525429,0.02774795,0.007107418,0.002765104,0.008064494,0.001772191],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000202223,0.00003897866,0.9684258,0.0002742558,0.001451164,0.0002729725,0.0005333315,0.0004329911,0.0006899871,0.0007517307,0.001501944,0.0254245],"study_design_scores_gemma":[0.00001500899,0.0001581562,0.990244,0.00003759151,0.0008600184,0.0003323428,0.0007532638,0.003419692,0.001037159,0.0006652743,0.002437094,0.00004040803],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9764122,0.005194703,0.004670944,0.000518519,0.0003751695,0.0001444309,0.004564571,0.0002408271,0.007878626],"genre_scores_gemma":[0.995932,0.0005139103,0.0007576903,0.00004143233,0.000241531,0.0000668461,0.001744378,0.00002991413,0.0006722082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9837123,"threshold_uncertainty_score":0.04008728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03440264907940091,"score_gpt":0.4109727657733914,"score_spread":0.3765701166939905,"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."}}