{"id":"W4320726359","doi":"10.1093/jcr/ucac055","title":"Beyond Numbers: An Ambiguity–Accessibility–Applicability Framework to Explain the Attraction Effect","year":2023,"lang":"en","type":"article","venue":"Journal of Consumer Research","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Ambiguity; Attraction; CLARITY; Perception; Set (abstract data type); Cognitive psychology; Conceptual framework; Psychology; Phenomenon; Process (computing); Social psychology; Computer science; Epistemology; Linguistics","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":[0.003538771,0.0004062043,0.0004514096,0.0009517278,0.0005200551,0.001343487,0.0009767411,0.001086832,0.009812722],"category_scores_gemma":[0.01152491,0.0002743241,0.0009717011,0.0003919545,0.003923461,0.004557563,0.001800154,0.00154959,0.0004605323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007584727,"about_ca_system_score_gemma":0.0004798023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008517677,"about_ca_topic_score_gemma":0.0006362406,"domain_scores_codex":[0.9990791,0.0004978207,0.00004514269,0.000115049,0.0001859082,0.00007701326],"domain_scores_gemma":[0.9912072,0.006679372,0.0005587008,0.0008347114,0.0004769058,0.0002431652],"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":[0.0006166276,0.0004406021,0.009803543,0.0003261516,0.00005848968,0.000662591,0.001423817,0.02079568,0.02432864,0.8972513,0.0006701349,0.04362249],"study_design_scores_gemma":[0.00008563539,0.0002083419,0.01068862,0.0000434476,0.00003038372,0.0002760354,0.0002944064,0.07341707,0.002517499,0.9107796,0.001611554,0.00004742197],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5929835,0.0008895484,0.3430209,0.003119006,0.0001513846,0.0003370149,0.0001529041,0.0001664224,0.05917924],"genre_scores_gemma":[0.9838763,0.0001059133,0.015106,0.0001284299,0.00002606401,0.00007394685,0.00001791583,0.00001412192,0.0006512986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009812722,"threshold_uncertainty_score":0.03282678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4113208688973397,"score_gpt":0.6004679743157054,"score_spread":0.1891471054183657,"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."}}