{"id":"W4380997685","doi":"10.1080/13546783.2023.2220971","title":"Verbal and numeric probabilities differentially shape decisions","year":2023,"lang":"en","type":"article","venue":"Thinking & Reasoning","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Psychology; Vagueness; Cognitive psychology; Nonverbal communication; Outcome (game theory); Social psychology; Statistics; Mathematics; Artificial intelligence; Computer science; Developmental psychology; Mathematical economics","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":[0.003303578,0.000357765,0.0003439909,0.0004776612,0.0003514554,0.002831855,0.0003480653,0.0009800288,0.006359155],"category_scores_gemma":[0.04682963,0.0003207319,0.0003826598,0.0003235188,0.0009512419,0.001842143,0.001004069,0.000977873,0.0005960774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000464594,"about_ca_system_score_gemma":0.00029487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006923424,"about_ca_topic_score_gemma":0.0007800199,"domain_scores_codex":[0.9966881,0.001819277,0.0001813264,0.0005302471,0.000588082,0.0001930458],"domain_scores_gemma":[0.96405,0.03018959,0.003099493,0.001092322,0.0009110721,0.0006574494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02008183,0.001972979,0.4001209,0.001446546,0.0006836828,0.001667254,0.02761381,0.01890558,0.2557642,0.03092779,0.004412271,0.2364032],"study_design_scores_gemma":[0.0009643816,0.002456635,0.7727473,0.0003911166,0.0008205531,0.0008464202,0.008120743,0.04878816,0.04389244,0.1104446,0.01016953,0.0003580228],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858407,0.0001078277,0.002826054,0.0001930565,0.00003002815,0.00002928604,0.00007207269,0.00003236566,0.01086862],"genre_scores_gemma":[0.9975122,0.00006854433,0.001729846,0.00007700314,0.00001408833,0.0000229809,0.00006171646,0.00002426281,0.0004893875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006359155,"threshold_uncertainty_score":0.02127349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1130560987128524,"score_gpt":0.3700312167534983,"score_spread":0.2569751180406459,"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."}}