{"id":"W4205862653","doi":"10.1016/j.joi.2021.101226","title":"Similarity network fusion for scholarly journals","year":2022,"lang":"en","type":"article","venue":"IRIS Research product catalog (Sapienza University of Rome)","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal; Université du Québec à Trois-Rivières","funders":"Institute for New Economic Thinking","keywords":"Modularity (biology); Computer science; Similarity (geometry); Field (mathematics); Exploit; Layer (electronics); Network analysis; Data science; Information retrieval; Social network analysis; Data mining; Artificial intelligence; World Wide Web; Mathematics; Social media; Image (mathematics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.002452323,0.0007824223,0.001267037,0.01644316,0.001168473,0.003032051,0.001148397,0.001574721,0.0061001],"category_scores_gemma":[0.01267143,0.0003271667,0.002096515,0.01267461,0.0004654089,0.004000943,0.002220794,0.0008672254,0.003119217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001743883,"about_ca_system_score_gemma":0.001916897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008476365,"about_ca_topic_score_gemma":0.009039399,"domain_scores_codex":[0.9973786,0.0005413202,0.0001994995,0.0006959165,0.0009318091,0.0002528866],"domain_scores_gemma":[0.9948206,0.001638341,0.0006392925,0.000886853,0.001701836,0.000313045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001101288,0.0006654635,0.03503723,0.0007671284,0.0007617413,0.000330008,0.0004847428,0.07400252,0.01138419,0.03883036,0.03008008,0.8065552],"study_design_scores_gemma":[0.00004878756,0.0002428533,0.02827699,0.000118319,0.0003376489,0.0002686504,0.0003597784,0.8721653,0.005710079,0.07379004,0.01860325,0.00007833793],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2162373,0.005150516,0.714729,0.002136931,0.0006471083,0.000892085,0.02421324,0.006561286,0.02943252],"genre_scores_gemma":[0.7707174,0.001468859,0.1964347,0.0001340698,0.0004819421,0.0004019738,0.02081451,0.0002350693,0.009311462],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9835569,"threshold_uncertainty_score":0.02040684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06518887915472281,"score_gpt":0.3373750823072736,"score_spread":0.2721862031525508,"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."}}