{"id":"W2116401198","doi":"10.1109/icdm.2008.94","title":"Modeling and Predicting the Helpfulness of Online Reviews","year":2008,"lang":"en","type":"article","venue":"","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":324,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Helpfulness; Computer science; Quality (philosophy); Data science; Resource (disambiguation); Psychology","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":[0.0002868667,0.00004427851,0.0001151063,0.00002932894,0.0001061491,0.00001537113,0.0002290634,0.00001091588,0.000009614031],"category_scores_gemma":[0.00002512751,0.00002462607,0.0000394828,0.0001731259,0.00001869257,0.0001286115,0.0001206443,0.0000375461,0.000001716678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001947383,"about_ca_system_score_gemma":0.000009288678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003213608,"about_ca_topic_score_gemma":0.000005450903,"domain_scores_codex":[0.999469,0.0000319743,0.0002063271,0.0001185066,0.0001048845,0.00006933666],"domain_scores_gemma":[0.9996618,0.00003308516,0.00005178332,0.0002046547,0.00002974885,0.0000189428],"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":[0.00001180633,0.0005318089,0.141101,0.0002313127,0.0002979926,0.00001675809,0.02960329,0.05651698,0.003484992,0.09277324,0.005068971,0.6703619],"study_design_scores_gemma":[0.00005171756,0.000006492995,0.0004196257,0.00002021843,0.00000417821,0.000005971787,0.00009529667,0.9986134,0.0002290321,0.00006675225,0.0004545441,0.00003272821],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3313054,0.001983053,0.6655471,0.0006318288,0.00005790327,0.00005691791,2.017256e-7,0.00002066568,0.0003969911],"genre_scores_gemma":[0.9700089,0.0007718817,0.0287879,0.0001690669,0.00004482805,0.000001848547,8.972505e-7,0.000001822615,0.0002128513],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9420965,"threshold_uncertainty_score":0.1004222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07223397040685091,"score_gpt":0.2871824448989911,"score_spread":0.2149484744921402,"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."}}