{"id":"W19283389","doi":"10.1007/978-3-642-41218-9_35","title":"Recursive Profiles of Businesses and Reviewers on Yelp.com","year":2013,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Saint Mary's University; University of Saskatchewan","funders":"","keywords":"Computer science; Profiling (computer programming); Cluster analysis; Grading (engineering); Representation (politics); World Wide Web; Data science; Information retrieval; Data mining; Database; Artificial intelligence; Programming language","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003826776,0.0003174844,0.0004338401,0.0003862326,0.000132875,0.0002549875,0.001886157,0.0001413646,0.0000160141],"category_scores_gemma":[0.0001140293,0.0002593331,0.00005177342,0.0004762615,0.0006861383,0.0004159727,0.0008044321,0.0003351765,0.00004438481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000555405,"about_ca_system_score_gemma":0.0002222031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000238548,"about_ca_topic_score_gemma":0.000003587853,"domain_scores_codex":[0.997786,0.00001674705,0.0003772668,0.001013009,0.0005135072,0.0002935013],"domain_scores_gemma":[0.9977388,0.0003702515,0.0003170209,0.001165183,0.0003096955,0.00009907081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[9.206964e-7,0.00001962566,0.000009509188,0.00007222547,0.000005291318,0.000004895216,0.000194642,0.0002952355,0.00004003903,0.04993405,0.0002757528,0.9491478],"study_design_scores_gemma":[0.0006592646,0.0009670657,0.001108768,0.007301636,0.00004715529,0.0001486586,0.000001573934,0.3840822,0.004998956,0.5454272,0.05289176,0.002365783],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00006939746,0.0009271993,0.9943528,0.001572329,0.0005285991,0.000439938,0.00001928921,0.00005298911,0.002037443],"genre_scores_gemma":[0.006762617,0.0008291123,0.9903569,0.001060545,0.0003352315,0.00003798302,0.00001537293,0.000029271,0.0005730037],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9467821,"threshold_uncertainty_score":0.9999859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01964089164952949,"score_gpt":0.2524847464374856,"score_spread":0.2328438547879561,"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."}}