{"id":"W2075487780","doi":"10.1109/skg.2013.29","title":"Semantic Analysis for Keywords Based User Segmentation from Internet Data","year":2013,"lang":"en","type":"article","venue":"","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Key (lock); Component (thermodynamics); Plug-in; The Internet; Segmentation; Information retrieval; Similarity (geometry); World Wide Web; Web page; Semantic similarity; Artificial intelligence; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000203136,0.00009391916,0.0001732218,0.00019523,0.00004185569,0.00045349,0.001512914,0.00002886371,0.0008619993],"category_scores_gemma":[0.00003976428,0.00007541826,0.00008768799,0.0006728499,0.00001248791,0.001039605,0.0003469657,0.0000334433,0.0001957089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001295339,"about_ca_system_score_gemma":0.00002233087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004170411,"about_ca_topic_score_gemma":0.0005142256,"domain_scores_codex":[0.9989189,0.00003940905,0.0002017363,0.0005169191,0.0001707411,0.0001522749],"domain_scores_gemma":[0.9981853,0.0001744344,0.00007379483,0.001441011,0.00006369749,0.00006172765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001477413,0.0004718532,0.3614417,0.00003659329,0.006197842,0.000006746069,0.0009901772,0.004240669,0.006164341,0.003480501,0.4015416,0.2154133],"study_design_scores_gemma":[0.0001831525,0.00001393377,0.010776,0.000004065301,0.0002896884,6.097369e-8,0.00004495758,0.9861673,0.0009732547,0.0001321332,0.001304858,0.0001106323],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03740852,0.0000107328,0.9611838,0.000921341,0.00006145574,0.00009332909,0.0000664851,0.00008888686,0.0001653959],"genre_scores_gemma":[0.6694644,9.506131e-7,0.3271338,0.0005232212,0.00003084994,0.00001847223,0.001745953,0.000003838166,0.001078461],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9819266,"threshold_uncertainty_score":0.9438288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04659145356278281,"score_gpt":0.2827339632047855,"score_spread":0.2361425096420027,"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."}}