{"id":"W2608037399","doi":"10.1177/0146167217702613","title":"Motivated Use of Numerical Anchors for Judgments Relevant to the Self","year":2017,"lang":"en","type":"article","venue":"Personality and Social Psychology Bulletin","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Anchoring; Psychology; Pessimism; Social psychology; Incentive; Futures contract; Cognitive psychology; Epistemology; Economics; Microeconomics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.008803046,0.0004296037,0.0003107826,0.0007064255,0.0004118697,0.001756035,0.0004991195,0.0007080981,0.003577432],"category_scores_gemma":[0.09151688,0.0003543934,0.0002909226,0.0003808714,0.001259796,0.002264689,0.001165615,0.001166901,0.0004091696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003406613,"about_ca_system_score_gemma":0.0003644031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003420882,"about_ca_topic_score_gemma":0.0004393464,"domain_scores_codex":[0.9950682,0.002544509,0.0002805408,0.0005920642,0.001386562,0.0001281047],"domain_scores_gemma":[0.9221626,0.04972648,0.0139568,0.009884409,0.003017018,0.001252748],"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":[0.004702523,0.002977365,0.2196898,0.001801885,0.0006358831,0.0009289115,0.02171983,0.004375797,0.2680452,0.08171379,0.003415206,0.3899937],"study_design_scores_gemma":[0.0007406962,0.004240109,0.6868418,0.0007606506,0.0007063742,0.001319546,0.00580038,0.02742311,0.08779966,0.1574078,0.0265247,0.0004351634],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9619313,0.0002049147,0.01677143,0.0003282321,0.00005877634,0.0001010095,0.00004817494,0.0001303741,0.02042569],"genre_scores_gemma":[0.9895131,0.00008329292,0.009575975,0.000133972,0.00001811016,0.00004436777,0.00003867906,0.00002909415,0.0005633509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008803046,"threshold_uncertainty_score":0.04655546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2854439735438407,"score_gpt":0.4637049651147299,"score_spread":0.1782609915708892,"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."}}