{"id":"W4401101277","doi":"10.3389/frym.2024.1212103","title":"How Do Simple Games Help us to Understand Decision-Making?","year":2024,"lang":"en","type":"article","venue":"Frontiers for Young Minds","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Outcome (game theory); Simple (philosophy); Decision fatigue; Order (exchange); Energy (signal processing); Psychology; Computer science; Business decision mapping; Decision engineering; Economics; Microeconomics; Artificial intelligence; Decision support system; Mathematics; Epistemology","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":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002096298,0.0003721025,0.0006306724,0.001044562,0.0003512237,0.00457956,0.00131326,0.0002436177,0.0002120331],"category_scores_gemma":[0.002624113,0.0002909104,0.0005245502,0.00114714,0.0001296554,0.0007826024,0.0002591805,0.0002139418,0.0003661685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000368262,"about_ca_system_score_gemma":0.0001932069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001009269,"about_ca_topic_score_gemma":0.0001024944,"domain_scores_codex":[0.9959353,0.00005305463,0.0007828341,0.001321302,0.001222869,0.0006846788],"domain_scores_gemma":[0.996661,0.001488702,0.0001622734,0.00105887,0.0003068167,0.0003223217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009692547,0.00002190676,0.002061988,0.000003385572,0.00002348055,0.00002919432,0.0005939614,0.0001065443,0.00002098913,0.0003190712,0.4564141,0.5403085],"study_design_scores_gemma":[0.0002900789,0.0002518439,0.0006481307,0.0001131663,0.00005856786,0.00003542845,0.006354652,0.005711325,0.00009923014,0.3027644,0.6832238,0.000449434],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.530557,0.001358596,0.4566348,0.00114837,0.008074131,0.0004845466,0.0003141378,0.000124766,0.001303656],"genre_scores_gemma":[0.9478089,0.00001761673,0.04463776,0.0002769582,0.0004022711,0.00003859143,0.00001199038,0.00006895551,0.006737004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5398591,"threshold_uncertainty_score":0.9999543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05803270143153461,"score_gpt":0.3697315793608779,"score_spread":0.3116988779293433,"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."}}