{"id":"W2609016426","doi":"10.5539/cis.v10n2p39","title":"A New Model for Rating Users’ Profiles in Online Social Networks","year":2017,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Opinion Dynamics and Social Influence","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Embedding; Cartesian coordinate system; Profiling (computer programming); Range (aeronautics); Space (punctuation); Vector space; Data mining; Set (abstract data type); Data science; Theoretical computer science; World Wide Web; Artificial intelligence; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001769835,0.00004782726,0.00006751312,0.00004090403,0.0006603643,0.0005186436,0.000211485,0.00001529719,0.000001684622],"category_scores_gemma":[0.000005738578,0.00004478434,0.00001864534,0.00005757195,0.00009258326,0.003149237,0.0001041645,0.00004937046,6.325185e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009270249,"about_ca_system_score_gemma":0.0001067054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005400832,"about_ca_topic_score_gemma":0.000002925354,"domain_scores_codex":[0.9995716,0.000002250252,0.0001460856,0.00007137335,0.00007957231,0.0001291331],"domain_scores_gemma":[0.9996845,0.00001041687,0.0001170484,0.00007726916,0.00007007326,0.00004073216],"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":[0.000007472056,0.00001786663,0.0286033,0.00001218317,0.000003560008,2.464794e-8,0.00913991,0.05317296,0.00001431312,0.3911375,0.0005100314,0.5173809],"study_design_scores_gemma":[0.0002384914,0.000007072551,0.0300769,0.000009164934,5.700892e-7,3.930939e-8,0.0001058876,0.9673216,0.000003088115,0.001997996,0.0001824556,0.00005677135],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1380306,0.000001258592,0.8608221,0.0002445563,0.0001261902,0.000120216,0.0000123475,0.00000577043,0.0006369316],"genre_scores_gemma":[0.9797045,0.000001294346,0.01989936,0.0001550464,0.0002021101,0.000005015681,0.00001243335,0.000001234728,0.00001898646],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9141486,"threshold_uncertainty_score":0.5079055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02731185985309585,"score_gpt":0.3168719564886597,"score_spread":0.2895600966355639,"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."}}