{"id":"W1511558225","doi":"10.2307/25148784","title":"E-Commerce Product Recommendation Agents: Use, Characteristics, and Impact1","year":2007,"lang":"en","type":"article","venue":"MIS Quarterly","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":1055,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Business; Product (mathematics); E-commerce; Marketing; Knowledge management; Industrial organization; Process management; Risk analysis (engineering); Commerce; Computer science; World Wide Web","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":[0.01182088,0.0003815885,0.000531105,0.004426455,0.00072735,0.006007663,0.0006662157,0.00131613,0.003275888],"category_scores_gemma":[0.07197965,0.0003936791,0.000665051,0.007178825,0.001158508,0.006412762,0.001305244,0.001061835,0.0006719127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001715542,"about_ca_system_score_gemma":0.001193897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005380169,"about_ca_topic_score_gemma":0.006239703,"domain_scores_codex":[0.9917858,0.003575546,0.0007911089,0.0005776398,0.002922456,0.0003475276],"domain_scores_gemma":[0.8413107,0.1209277,0.01745385,0.003056121,0.01507088,0.002180698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000338381,0.00049807,0.9027236,0.0003892175,0.0002611484,0.0001789569,0.004519038,0.0008503321,0.0003450659,0.002427963,0.0007315851,0.08673663],"study_design_scores_gemma":[0.0000494634,0.0006070132,0.9725227,0.0003327113,0.0002973269,0.000409346,0.009545521,0.008197313,0.0008624264,0.002128551,0.004973658,0.00007397587],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9709458,0.002678216,0.002059429,0.001107638,0.00001611313,0.0002399353,0.0003545882,0.00003951474,0.02255875],"genre_scores_gemma":[0.996046,0.00081116,0.002066976,0.00007528923,0.00001856074,0.00006163117,0.0002024985,0.000009688182,0.0007082256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01182088,"threshold_uncertainty_score":0.06251556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1225078914290355,"score_gpt":0.3895630786254148,"score_spread":0.2670551871963794,"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."}}