{"id":"W3162860054","doi":"10.1108/jhtt-04-2020-0077","title":"Assessing restaurant review helpfulness through big data: dual-process and social influence theory","year":2021,"lang":"en","type":"article","venue":"Journal of Hospitality and Tourism Technology","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Helpfulness; Psychology; Empirical research; Process (computing); Originality; Computer science; Social psychology; Applied psychology; Marketing; Business","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":[0.002982644,0.0001213222,0.0004553813,0.00006635651,0.000582094,0.0002270061,0.0003294074,0.0002538531,0.000006236469],"category_scores_gemma":[0.004582663,0.0001084039,0.00005121393,0.0004518745,0.001114147,0.001153724,0.0002330099,0.0004572076,5.40822e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003163108,"about_ca_system_score_gemma":0.000417624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004454551,"about_ca_topic_score_gemma":0.00004622361,"domain_scores_codex":[0.9982158,0.0004236065,0.0004584745,0.0002467468,0.0003781694,0.0002772004],"domain_scores_gemma":[0.9984983,0.000339167,0.000445025,0.0001968022,0.000449311,0.00007139526],"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":[0.00005056888,0.0003353582,0.01372639,0.001637651,0.0002291087,0.001552025,0.01727697,2.509079e-7,0.0001082418,0.1139672,0.002312366,0.8488039],"study_design_scores_gemma":[0.0008872654,0.0001877031,0.02119471,0.003239578,0.0003398144,0.0003042819,0.1391567,0.000001003268,0.0002834759,0.7615527,0.07225564,0.0005971193],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9404557,0.02589031,0.0001229174,0.03013915,0.0004739165,0.00008135458,0.000009146926,0.00004209934,0.002785343],"genre_scores_gemma":[0.9849974,0.01359956,0.0002356412,0.0005870525,0.0004980053,0.000002366661,0.000002496932,0.00000867311,0.00006879772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8482068,"threshold_uncertainty_score":0.5486206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04752102285525873,"score_gpt":0.3648532625996477,"score_spread":0.317332239744389,"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."}}