{"id":"W3092853244","doi":"10.1016/j.geb.2020.09.008","title":"Sentiments, strategic uncertainty, and information structures in coordination games","year":2020,"lang":"en","type":"article","venue":"Games and Economic Behavior","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"National Science Foundation","keywords":"Comparative statics; Pessimism; Global game; Coordination game; Information structure; Affect (linguistics); Complete information; Perception; Computer science; Mathematical economics; SIGNAL (programming language); Microeconomics; Mechanism (biology); Game theory; A priori and a posteriori; Economics; Psychology; Communication","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":[],"consensus_categories":[],"category_scores_codex":[0.0001060499,0.0001012507,0.0001598478,0.00005173439,0.0001427581,0.000172856,0.00006717964,0.00006302544,0.0001337204],"category_scores_gemma":[0.000005809389,0.0001104944,0.00002138677,0.00003369406,0.0001643831,0.0008407623,0.00006635975,0.0000682823,0.0000190763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001348399,"about_ca_system_score_gemma":0.00003920147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004031844,"about_ca_topic_score_gemma":0.001467692,"domain_scores_codex":[0.9993665,0.00002586108,0.0002292289,0.000167566,0.00003901549,0.0001718595],"domain_scores_gemma":[0.9997446,0.00001487974,0.00008717482,0.00004622914,0.000009933265,0.00009717369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006655,0.00006095502,0.7649723,0.00003686987,0.00002971398,0.000004964401,0.05516853,0.0001740181,0.0008127316,0.1134779,0.0007382138,0.06445722],"study_design_scores_gemma":[0.003982846,0.0003599921,0.742981,0.00003826172,0.0001420502,0.000007607996,0.21356,0.002573483,0.000862069,0.005851169,0.0283174,0.001324125],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946665,0.0002307015,8.49383e-7,0.00156276,0.0001185927,0.0002769797,0.0000276889,0.00002549436,0.003090454],"genre_scores_gemma":[0.9991565,0.0003930239,0.00008144428,0.0002171587,0.00004530929,0.00003934838,0.00001660964,0.000004826282,0.00004577545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1583915,"threshold_uncertainty_score":0.609497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03432947246371196,"score_gpt":0.2991136512817207,"score_spread":0.2647841788180088,"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."}}