{"id":"W2550079071","doi":"10.3386/w15623","title":"The Behavioralist Visits the Factory: Increasing Productivity Using Simple Framing Manipulations","year":2009,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Incentive; Framing (construction); Conditionality; Sustenance; Reputation; Economics; Productivity; Marketing; Labour economics; Business; Microeconomics; Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.008498349,0.0002051207,0.0003142247,0.0002187691,0.003777941,0.0005285116,0.001077023,0.0002421735,0.00005552981],"category_scores_gemma":[0.0009560196,0.0001669472,0.0001749249,0.0001672809,0.001244186,0.0003019118,0.0009043323,0.0009692626,0.00001950539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00330446,"about_ca_system_score_gemma":0.001645188,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04320146,"about_ca_topic_score_gemma":0.01299313,"domain_scores_codex":[0.9964365,0.00108492,0.0005598374,0.0005392358,0.0008409011,0.0005385803],"domain_scores_gemma":[0.9968734,0.001492091,0.0003959075,0.0004597908,0.0006903887,0.00008842674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008207036,0.0002381007,0.0478667,0.00002713408,0.0001559423,0.000001627719,0.007837916,0.008044168,0.001560542,0.9288752,0.001508064,0.003802544],"study_design_scores_gemma":[0.000266345,0.00005524256,0.03580626,0.00009155092,0.00005380489,0.000002900457,0.008715767,0.002295159,0.001018239,0.9471622,0.003994986,0.0005375688],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.960332,0.0007162692,0.000007590528,0.003488168,0.0004757511,0.001304031,0.00007241369,0.0000296095,0.03357413],"genre_scores_gemma":[0.9984042,0.0001609172,0.0002757763,0.00001612933,0.0007343703,0.0000838725,0.00006234806,0.00002305617,0.0002393497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03807215,"threshold_uncertainty_score":0.997519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5462732629295765,"score_gpt":0.5867537055625076,"score_spread":0.04048044263293116,"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."}}