{"id":"W7117452125","doi":"10.2139/ssrn.5984063","title":"Risk Preferences, Anchoring Effects, and Insurance choices: Experimental Design","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Anchoring; Leverage (statistics); Insurance policy; Sample (material); Risk pool; Expected utility hypothesis; Shock (circulatory)","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":[0.01460828,0.003380589,0.003780626,0.001655776,0.001713533,0.003667698,0.00430835,0.007931947,0.03771655],"category_scores_gemma":[0.05583647,0.002349072,0.002195443,0.001780217,0.005594022,0.00216512,0.003367221,0.006200484,0.004077553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001709375,"about_ca_system_score_gemma":0.002113645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008329636,"about_ca_topic_score_gemma":0.0006595053,"domain_scores_codex":[0.984265,0.006062252,0.001620928,0.003577254,0.002192934,0.002281553],"domain_scores_gemma":[0.9448225,0.03755791,0.006249646,0.007873197,0.001801497,0.001695178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.6046837,0.1814636,0.01335567,0.003463172,0.001490424,0.0008858228,0.004609945,0.02670406,0.06007021,0.04003469,0.005370666,0.05786808],"study_design_scores_gemma":[0.2964654,0.3618068,0.04311374,0.0006600216,0.004818349,0.00059098,0.00126421,0.074394,0.02807533,0.1555642,0.03211425,0.0011328],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9325203,0.0005003378,0.02386994,0.0006442561,0.0009941352,0.03184916,0.001994618,0.0003103773,0.007316915],"genre_scores_gemma":[0.6570085,0.0007127717,0.05676477,0.00153383,0.0007363659,0.2565117,0.001477795,0.0002611865,0.02499305],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.03771655,"threshold_uncertainty_score":0.1261744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01207011888133444,"score_gpt":0.2375251125690422,"score_spread":0.2254549936877077,"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."}}