{"id":"W4402793765","doi":"10.2139/ssrn.4966406","title":"When Peers Matter More: The Dominance of Social Influence Over Algorithm Accuracy in Patient Decision Making","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"AI in Service Interactions","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Dominance (genetics); Computer science; Algorithm; Psychology; Biology","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":[0.006001265,0.0002586808,0.0004776143,0.0007537991,0.001071576,0.003310545,0.0004368371,0.00156306,0.009448465],"category_scores_gemma":[0.08946555,0.0002033855,0.0003039652,0.0006228829,0.00251066,0.002983528,0.0008905046,0.002024198,0.0007063901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001018352,"about_ca_system_score_gemma":0.001701718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006210526,"about_ca_topic_score_gemma":0.008478282,"domain_scores_codex":[0.9953193,0.003083877,0.0001955189,0.000407574,0.0007351159,0.0002585445],"domain_scores_gemma":[0.9122815,0.07439133,0.006244016,0.001372125,0.002674304,0.003036749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.004580708,0.0008922577,0.4025232,0.0005934656,0.001087693,0.0009401437,0.01546901,0.007750635,0.002811771,0.04110495,0.03061051,0.4916357],"study_design_scores_gemma":[0.0007539361,0.001518043,0.5554574,0.0008036192,0.001058554,0.001917114,0.02276618,0.08971728,0.005383557,0.2978527,0.02252417,0.000247356],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8753877,0.003937806,0.009694611,0.06088594,0.0005407673,0.00003512686,0.0002785756,0.00006892903,0.04917067],"genre_scores_gemma":[0.9970463,0.0002945545,0.000847185,0.0009193711,0.0001814318,0.000009139306,0.00001600418,0.00002255456,0.0006635906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009448465,"threshold_uncertainty_score":0.0317381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006853290936326475,"score_gpt":0.2962708789621479,"score_spread":0.2894175880258215,"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."}}