{"id":"W2597269309","doi":"10.18438/b8cw4n","title":"A Comparison of Traditional Book Reviews and Amazon.com Book Reviews of Fiction Using a Content Analysis Approach","year":2017,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Expert finding and Q&A systems","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Helpfulness; Amazon rainforest; Checklist; Purchasing; Quality (philosophy); Consistency (knowledge bases); Computer science; Library science; Psychology; Marketing; Business; Philosophy; Artificial intelligence; Epistemology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.02480775,0.0004297426,0.0009148106,0.01657342,0.0007474052,0.003083217,0.0007789852,0.000420113,0.002229928],"category_scores_gemma":[0.1674971,0.0004369633,0.001132358,0.01141896,0.0005880461,0.002250164,0.001061057,0.0003889618,0.0004475056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00260642,"about_ca_system_score_gemma":0.002171855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00351166,"about_ca_topic_score_gemma":0.007280212,"domain_scores_codex":[0.9477925,0.02585037,0.006104014,0.002207729,0.01753631,0.0005090975],"domain_scores_gemma":[0.6130549,0.2544042,0.03966809,0.004372271,0.08637438,0.002126127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.01035448,0.001146393,0.3676193,0.01387821,0.004151581,0.000545184,0.01793829,0.001435221,0.010032,0.001738376,0.007438121,0.5637228],"study_design_scores_gemma":[0.0008388468,0.00651718,0.9372658,0.002800573,0.002900975,0.001052633,0.0109795,0.01037235,0.008597187,0.0008316659,0.01758218,0.0002612876],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9572601,0.009044724,0.01071627,0.0004673925,0.0003249397,0.003225079,0.002233987,0.0002727887,0.01645477],"genre_scores_gemma":[0.9681056,0.002230306,0.02410183,0.0002436443,0.0002758049,0.002083374,0.001001409,0.00008462039,0.00187335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02480775,"threshold_uncertainty_score":0.1311975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1937308834804377,"score_gpt":0.3461492126635176,"score_spread":0.1524183291830799,"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."}}