{"id":"W4244543711","doi":"10.1007/s40881-018-0059-0","title":"Instructions","year":2018,"lang":"en","type":"article","venue":"Journal of the Economic Science Association","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada; Simon Fraser University","keywords":"Reinforcement; Computer science; Reinforcement learning; Task (project management); Stochastic game; Baseline (sea); Comprehension; Artificial intelligence; Psychology; Social psychology; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.002455336,0.00003752956,0.00008750324,0.00008222743,0.001290809,0.0001274208,0.0005380837,0.000030906,0.00008761025],"category_scores_gemma":[0.0004775304,0.00002955364,0.00007564807,0.0001862643,0.0007191247,0.0008565909,0.00007322377,0.00007998833,0.00008423107],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0054384,"about_ca_system_score_gemma":0.0008564626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003715914,"about_ca_topic_score_gemma":0.0009279067,"domain_scores_codex":[0.9992392,0.00005086417,0.0002462592,0.00007367447,0.0002121298,0.0001778593],"domain_scores_gemma":[0.9989041,0.00004869455,0.0007043874,0.00008605622,0.0002029916,0.00005378482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001618384,0.00005275487,0.8538377,7.080338e-7,0.00006047442,2.907288e-7,0.03647879,0.00009416397,0.01173845,0.06822289,0.02372498,0.005772616],"study_design_scores_gemma":[0.001447587,0.0003645851,0.6350987,0.00005791568,0.0001242159,0.0000242843,0.04617115,0.0003211829,0.06072727,0.04755663,0.2075233,0.0005832081],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9514892,0.00001296486,0.000002741489,0.0040035,0.00718281,0.00004987429,0.000001303019,0.000005313456,0.03725234],"genre_scores_gemma":[0.9973784,0.00002347068,0.0002419648,0.0001212761,0.0009322721,7.202834e-7,1.63251e-8,0.000002282084,0.001299616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.218739,"threshold_uncertainty_score":0.9983795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02311427047647054,"score_gpt":0.3433100861265865,"score_spread":0.320195815650116,"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."}}