{"id":"W3144406692","doi":"10.2307/25148760","title":"The Effects of Personalization and Familiarity on Trust and Adoption of Recommendation Agents1","year":2006,"lang":"en","type":"article","venue":"MIS Quarterly","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":1300,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Memorial University of Newfoundland","funders":"McKnight Foundation","keywords":"Personalization; Business; Knowledge management; Marketing; Recommender system; Computer science; Psychology; 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":[0.003980572,0.0002802698,0.0003563252,0.0006561643,0.0005238256,0.001747728,0.0002889735,0.0006954263,0.002864164],"category_scores_gemma":[0.04317571,0.0002977869,0.0005627522,0.000539983,0.0009668897,0.00160452,0.00100595,0.0009879011,0.000223119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009708623,"about_ca_system_score_gemma":0.0006431368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00336458,"about_ca_topic_score_gemma":0.003571174,"domain_scores_codex":[0.9960084,0.002484371,0.0002934881,0.0002629776,0.000620576,0.0003300656],"domain_scores_gemma":[0.881306,0.08919844,0.01777582,0.003879749,0.004316567,0.003523454],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002177884,0.002033567,0.9071358,0.0001888042,0.00050836,0.0006839102,0.009919369,0.002072981,0.006210038,0.00239951,0.0002343357,0.06643537],"study_design_scores_gemma":[0.00006304893,0.001215194,0.9869236,0.00003660616,0.0002126976,0.0002550712,0.002529073,0.005296635,0.00145189,0.001469017,0.0005013153,0.00004588351],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967205,0.0001120724,0.0006551773,0.0000862027,0.000002729241,0.00001584219,0.00001021349,0.000005946097,0.002391366],"genre_scores_gemma":[0.9995916,0.0000343524,0.0002236647,0.000009369803,0.000003046935,0.000007100299,0.000006673549,0.000001433476,0.0001226481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003980572,"threshold_uncertainty_score":0.02105153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02856968952116189,"score_gpt":0.313434840625595,"score_spread":0.2848651511044331,"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."}}