{"id":"W3152021761","doi":"10.18280/ts.380101","title":"A Profile Analysis of User Interaction in Social Media Using Deep Learning","year":2021,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Centrality; Reciprocity (cultural anthropology); Modularity (biology); Social media; Social network analysis; Convolutional neural network; Artificial intelligence; Set (abstract data type); Data set; Social network (sociolinguistics); Machine learning; Data mining; Data science; World Wide Web; Mathematics; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001796086,0.00009770014,0.0003056905,0.0002745684,0.00006454976,0.00002738594,0.00006888933,0.00002281983,0.005468436],"category_scores_gemma":[0.000004289065,0.0001064952,0.0002325175,0.001088136,0.00001907127,0.00009581591,0.00004712317,0.0001419402,0.00000179734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005083696,"about_ca_system_score_gemma":0.00002624571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001121395,"about_ca_topic_score_gemma":0.0001827627,"domain_scores_codex":[0.9990134,0.0001279572,0.0003412284,0.0001854136,0.0001791916,0.0001527944],"domain_scores_gemma":[0.9995639,0.00008608145,0.0001673711,0.00007137799,0.00008779732,0.00002345518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008418588,0.0009772193,0.7275769,0.00002750167,0.004218502,0.00001375719,0.006855748,0.06885778,0.07769051,0.01044022,0.0002327559,0.1030249],"study_design_scores_gemma":[0.000867009,0.00003757265,0.1749165,0.00006258253,0.002427935,4.87056e-7,0.004834693,0.7939728,0.01999483,0.001116551,0.001336943,0.0004320826],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.945893,0.00001569857,0.05292796,0.00001638145,0.00001719545,0.00005951558,0.00000641458,0.00001873199,0.001045086],"genre_scores_gemma":[0.9977568,7.649982e-7,0.00181459,0.000007152872,0.0001864304,0.00001347452,0.0001885882,0.000008649944,0.00002348402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7251151,"threshold_uncertainty_score":0.9954407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0270475019801725,"score_gpt":0.2969126585499478,"score_spread":0.2698651565697753,"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."}}