{"id":"W4410154918","doi":"10.2139/ssrn.5235792","title":"Identifying Proposers Behavioral Patterns in Human-AI Economic Interactions","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Economic Development and Digital Transformation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Psychology; Economics; Cognitive psychology","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":[0.001750916,0.000152146,0.0002613199,0.001085069,0.0003320976,0.001399369,0.000323933,0.0006958831,0.00426884],"category_scores_gemma":[0.01694151,0.0002122566,0.0001860745,0.001023008,0.0005897136,0.001196478,0.0006162076,0.0006433955,0.0004836876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003757182,"about_ca_system_score_gemma":0.0003481102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001772586,"about_ca_topic_score_gemma":0.001991991,"domain_scores_codex":[0.9991626,0.0004894481,0.00003973037,0.0001561744,0.00007565557,0.0000763686],"domain_scores_gemma":[0.9879035,0.008397907,0.001879969,0.0008542797,0.000500015,0.000464314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007110903,0.0005265792,0.8887483,0.0001092214,0.000171136,0.0001765243,0.004938222,0.0133265,0.009277689,0.02298486,0.001069701,0.05796022],"study_design_scores_gemma":[0.00008159316,0.0004598441,0.7063995,0.00003281299,0.00008544009,0.0003323207,0.007883976,0.2442752,0.003147906,0.03460392,0.002658294,0.00003921597],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990187,0.00003619127,0.008017525,0.0001901245,0.000004626998,0.00001970556,0.00009650646,0.00002061933,0.001427701],"genre_scores_gemma":[0.9976197,0.0000218229,0.001675934,0.0000130815,0.000004665101,0.00001735474,0.00007569235,0.000004659757,0.0005670104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00426884,"threshold_uncertainty_score":0.01428074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04310768511654941,"score_gpt":0.3042978802829266,"score_spread":0.2611901951663772,"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."}}