{"id":"W3198199943","doi":"10.1007/978-3-030-93409-5_5","title":"Small Number of Communities in Twitter Keyword Networks","year":2022,"lang":"en","type":"preprint","venue":"Studies in computational intelligence","topic":"Opinion Dynamics and Social Influence","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Politics; Community structure; Data science; Information retrieval; Geography; Political science; Statistics; 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":[],"consensus_categories":[],"category_scores_codex":[0.002032016,0.0003908456,0.001289782,0.003098764,0.002243897,0.002802009,0.001792512,0.001920253,0.003996118],"category_scores_gemma":[0.03364665,0.0009923191,0.0007081304,0.0017896,0.002369555,0.00653052,0.002352143,0.001319989,0.0005023566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001059924,"about_ca_system_score_gemma":0.0005273671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003443519,"about_ca_topic_score_gemma":0.003797038,"domain_scores_codex":[0.9986761,0.00051004,0.00004997246,0.000371535,0.0002480195,0.000144286],"domain_scores_gemma":[0.961704,0.02898514,0.003460815,0.001566168,0.002088624,0.002195373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002306006,0.0006364214,0.08079977,0.001038329,0.0005675836,0.001807634,0.004721337,0.1255119,0.02350672,0.6754341,0.02820829,0.05546186],"study_design_scores_gemma":[0.0002079321,0.0001099798,0.01831161,0.00007410649,0.0001190115,0.0006719376,0.001147627,0.6827519,0.002037654,0.291501,0.002984845,0.00008234914],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9063188,0.001261128,0.08067533,0.002607848,0.0001140803,0.0001242445,0.001241052,0.0003156108,0.007341899],"genre_scores_gemma":[0.9917151,0.0002648965,0.004939434,0.0001217991,0.0001599051,0.000100167,0.0003871069,0.00004954545,0.002261966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003996118,"threshold_uncertainty_score":0.01336831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1407404491210562,"score_gpt":0.4086485015551439,"score_spread":0.2679080524340878,"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."}}