{"id":"W3134691488","doi":"","title":"Real Incentive Effects of Soft Information","year":2019,"lang":"en","type":"article","venue":"University of Southern Denmark Research Portal (University of Southern Denmark)","topic":"Economic Policies and Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Incentive; Microeconomics; Principal–agent problem; Principal (computer security); Agency (philosophy); Contractible space; Control (management); Negotiation; Term (time); Business; Economics; Computer science; Finance; Corporate governance","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001006871,0.0002005392,0.0006970405,0.0008484346,0.0002097771,0.00002039206,0.0009029019,0.000254132,0.006799051],"category_scores_gemma":[0.0001122639,0.0002840682,0.0003347123,0.0005286754,0.0006919096,0.000629242,0.0004691565,0.00035291,0.006047082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001372304,"about_ca_system_score_gemma":0.0001574222,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01772484,"about_ca_topic_score_gemma":0.0005990047,"domain_scores_codex":[0.9983637,0.00009456016,0.0004139004,0.0003499809,0.0002436834,0.0005341122],"domain_scores_gemma":[0.9977523,0.000240123,0.0009379448,0.0005551658,0.000291935,0.0002225036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.002476632,0.0009583128,0.7822692,0.002726399,0.001810721,0.0001112506,0.1504339,0.0003736987,0.002130131,0.04204449,0.008792564,0.005872735],"study_design_scores_gemma":[0.01393254,0.001908082,0.151099,0.001007783,0.0001844211,0.00001329699,0.7746996,0.005302083,0.0007658539,0.01157846,0.03763673,0.001872119],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8773285,0.0001160488,0.0002431861,0.00008181312,0.00008256419,0.0004444473,0.001528745,0.00001558183,0.1201592],"genre_scores_gemma":[0.9887032,0.0002660319,0.0002715615,0.0000112996,0.00001870233,7.420407e-8,0.00004008758,0.00001895939,0.01067007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6311702,"threshold_uncertainty_score":0.9999611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0173388271776122,"score_gpt":0.2067308430093296,"score_spread":0.1893920158317174,"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."}}