{"id":"W1943450596","doi":"10.1002/cpe.1785","title":"Real‐time helpfulness prediction based on voter opinions","year":2011,"lang":"en","type":"article","venue":"Concurrency and Computation Practice and Experience","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Helpfulness; Computer science; Machine learning; Data mining; Convergence (economics); Artificial intelligence; Algorithm","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":[0.001871115,0.0004316608,0.0006633556,0.0009338835,0.0002205647,0.0007812894,0.0006572257,0.0004905524,0.000987392],"category_scores_gemma":[0.01007768,0.0002075064,0.0002747251,0.0005513432,0.0002376611,0.001214723,0.0003631584,0.0007799006,0.0007625482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003987839,"about_ca_system_score_gemma":0.0002594767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001604074,"about_ca_topic_score_gemma":0.001870954,"domain_scores_codex":[0.999117,0.0003611399,0.00005097322,0.0001850767,0.0002152415,0.00007065164],"domain_scores_gemma":[0.9923607,0.004326509,0.0009474278,0.0005747777,0.001569272,0.0002213746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001230662,0.0003310462,0.08670157,0.0002142325,0.0001739151,0.0001834092,0.0003440396,0.4888433,0.02237567,0.004851574,0.006875482,0.3878752],"study_design_scores_gemma":[0.000005695407,0.00002690462,0.002989513,0.000003389964,0.000005286851,0.00001601726,0.00001791327,0.9932472,0.002396234,0.001095114,0.0001899731,0.000006745465],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5256775,0.0002733203,0.4688359,0.0005690602,0.00007106956,0.00009264809,0.0003570521,0.001383503,0.002739968],"genre_scores_gemma":[0.9613724,0.00003935317,0.03779487,0.00002648435,0.00003667262,0.00002431196,0.0002003366,0.00002143046,0.0004841465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001871115,"threshold_uncertainty_score":0.009895504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04074502478264674,"score_gpt":0.3107438932242362,"score_spread":0.2699988684415895,"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."}}