{"id":"W4327601964","doi":"10.1057/s41302-023-00244-3","title":"Bounty Hunters Can Teach Microeconomics: Illustrations from Netflix's Cowboy Bebop","year":2023,"lang":"en","type":"article","venue":"Eastern Economic Journal","topic":"Innovations in Educational Methods","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Face (sociological concept); Asynchronous communication; Diversity (politics); Computer science; The Imaginary; CLIPS; Multimedia; Microeconomics; Economics; Sociology; Psychology; Artificial intelligence; Social science; Telecommunications; Psychoanalysis","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001845632,0.0001435701,0.0001958449,0.0003090065,0.001121082,0.000554485,0.0005476059,0.0001130444,0.001496928],"category_scores_gemma":[0.0001862692,0.0001716738,0.0001065164,0.0001805644,0.0002806573,0.0004863507,0.00005632124,0.0003920106,0.001570022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001059102,"about_ca_system_score_gemma":0.00138392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002350534,"about_ca_topic_score_gemma":0.004913705,"domain_scores_codex":[0.9983324,0.0002331919,0.0005826652,0.0002659306,0.0001237461,0.000462026],"domain_scores_gemma":[0.9988866,0.0002597956,0.0003448496,0.0002239092,0.00009730505,0.000187556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007234633,0.0002403364,0.3411957,0.00001190503,0.0008525852,0.00003175599,0.1372173,0.007820591,0.001097236,0.1229047,0.2439296,0.1446259],"study_design_scores_gemma":[0.0008796509,0.00004287828,0.05636783,0.00005058019,0.00004998102,0.0000449628,0.1146464,0.001962794,0.0001179198,0.04546593,0.7797024,0.0006687136],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9455811,0.00003817572,0.0008816935,0.01718507,0.008902555,0.000166088,0.0001479537,0.00008616381,0.02701123],"genre_scores_gemma":[0.9705254,0.0001020845,0.007749331,0.0009352892,0.007699195,0.00002397881,0.00009111382,0.00004157348,0.01283204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5357728,"threshold_uncertainty_score":0.9994158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04999083661098979,"score_gpt":0.3694642448200774,"score_spread":0.3194734082090877,"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."}}