{"id":"W4384626957","doi":"10.1017/s0140525x2200303x","title":"Correction, uncertainty, and anchoring effects","year":2023,"lang":"en","type":"letter","venue":"Behavioral and Brain Sciences","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Anchoring; Heuristic; Psychology; Noise (video); Cognitive psychology; Computer science; Social psychology; Artificial intelligence","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":[0.007396713,0.0002692878,0.0006315712,0.0005223555,0.001097052,0.001941359,0.001317714,0.01086311,0.007297156],"category_scores_gemma":[0.05871612,0.0001620997,0.0003894796,0.0004847885,0.004665891,0.003580765,0.001580649,0.009386545,0.001868071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001898209,"about_ca_system_score_gemma":0.001266014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001919373,"about_ca_topic_score_gemma":0.002082892,"domain_scores_codex":[0.9970534,0.0008958814,0.0002453749,0.0005891513,0.0009183984,0.0002978096],"domain_scores_gemma":[0.9420869,0.04886628,0.002381205,0.002839122,0.00298111,0.0008453292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001251145,0.0001990247,0.01025341,0.0002506018,0.00008483213,0.008335948,0.001075502,0.001172196,0.001460271,0.4356344,0.3435806,0.196702],"study_design_scores_gemma":[0.0003721032,0.0001554704,0.007156367,0.0001958512,0.00004276766,0.006675988,0.0007006895,0.005110836,0.00174237,0.8635014,0.1142619,0.0000842029],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.008944217,0.003142964,0.004006425,0.9639013,0.00414302,0.00001515162,0.00004756432,0.00004015326,0.01575925],"genre_scores_gemma":[0.452765,0.005298187,0.004539719,0.4988678,0.02764944,0.000137932,0.0000691029,0.00005437482,0.0106184],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01086311,"threshold_uncertainty_score":0.03911805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1698154568541534,"score_gpt":0.4181655745018714,"score_spread":0.2483501176477181,"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."}}