{"id":"W2115178177","doi":"10.1111/j.1540-5915.2006.00122.x","title":"Paradoxes of Online Investing: Testing the Influence of Technology on User Expectancies*","year":2006,"lang":"en","type":"article","venue":"Decision Sciences","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Conviction; Perception; Behavioral economics; Incentive; Cognition; Emerging technologies; Business; Psychology; Economics; Computer science; Microeconomics; Political science","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":[0.01065147,0.000274685,0.0004712701,0.0008635157,0.000557782,0.002451701,0.0007745949,0.0009600519,0.004068304],"category_scores_gemma":[0.08806616,0.0002946696,0.0008162101,0.0006419105,0.001400224,0.002616465,0.001988497,0.001707684,0.0003560256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009179495,"about_ca_system_score_gemma":0.0005378003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001236076,"about_ca_topic_score_gemma":0.0007249111,"domain_scores_codex":[0.9961829,0.001906519,0.0003508885,0.0004620436,0.0008754498,0.0002221865],"domain_scores_gemma":[0.8418669,0.1230415,0.01917969,0.008461129,0.004081797,0.003369105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002557264,0.003932782,0.9346022,0.0002973095,0.0003465629,0.0002475718,0.008433921,0.00415074,0.004430055,0.00634939,0.0006185805,0.03403369],"study_design_scores_gemma":[0.0001343635,0.003557196,0.9317837,0.00006984302,0.0002413417,0.0001804486,0.005299349,0.04333216,0.004540871,0.009654202,0.001074339,0.0001321989],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979461,0.00002747344,0.0006608622,0.00008357735,0.000006357571,0.00002943212,0.00005161347,0.000007844715,0.001186785],"genre_scores_gemma":[0.9992673,0.00001340711,0.0004691043,0.00002728683,0.000004083494,0.00004025927,0.00004858108,0.000004718734,0.0001252898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01065147,"threshold_uncertainty_score":0.05633104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1594327768316297,"score_gpt":0.4008956213405452,"score_spread":0.2414628445089155,"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."}}