{"id":"W2209020923","doi":"","title":"How do Different Sources of the Variance of Consumer Ratings Matter","year":2015,"lang":"en","type":"article","venue":"International Conference on Information Systems","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Variance (accounting); Price variance; Product (mathematics); Economics; Econometrics; Microeconomics; Constant (computer programming); Mathematics; Computer science","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":[0.006567176,0.0004631953,0.001275272,0.0009624555,0.0003725296,0.005527427,0.000780495,0.002227476,0.004219151],"category_scores_gemma":[0.0592597,0.000729706,0.001352303,0.0009130077,0.001961341,0.004625914,0.0008845351,0.001683778,0.0009064279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008542549,"about_ca_system_score_gemma":0.0004384262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003207023,"about_ca_topic_score_gemma":0.002275788,"domain_scores_codex":[0.9961224,0.001523244,0.000195616,0.001103849,0.0006203143,0.0004345407],"domain_scores_gemma":[0.938538,0.04470409,0.008180968,0.00497726,0.002297831,0.001301909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001464343,0.0005984948,0.7360212,0.0004292754,0.00239919,0.0007554208,0.003149351,0.04088146,0.01271558,0.1020187,0.002865977,0.09670111],"study_design_scores_gemma":[0.0002104204,0.0004315997,0.8059975,0.00008907532,0.0005153913,0.0004928612,0.001496831,0.09641134,0.002513734,0.08968303,0.001917862,0.0002403745],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9320816,0.0008521153,0.04928134,0.001860001,0.00007463268,0.0001122566,0.0004952911,0.0001875909,0.01505517],"genre_scores_gemma":[0.9975591,0.0001425927,0.001447986,0.0001057165,0.00002852162,0.00001548952,0.00008598658,0.00003081335,0.000583931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006567176,"threshold_uncertainty_score":0.03473097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04103190381340106,"score_gpt":0.2463490150905905,"score_spread":0.2053171112771894,"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."}}