{"id":"W3167272604","doi":"10.1287/serv.2021.0273","title":"Value of Stars on Broadway: A Case Study","year":2021,"lang":"en","type":"article","venue":"Service Science","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Revenue; Profit (economics); Business; Value (mathematics); Marketing; Service (business); Set (abstract data type); Metaphor; Microeconomics; Economics; Accounting; Computer 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":[],"consensus_categories":[],"category_scores_codex":[0.0005350052,0.0000756332,0.0002193807,0.0001458286,0.0001484979,0.00002757402,0.0002003833,0.00001596206,0.0000821064],"category_scores_gemma":[0.0001822115,0.00007851383,0.00003333945,0.00123724,0.00008476921,0.0001306473,0.00014837,0.00006386239,0.0001318252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003901399,"about_ca_system_score_gemma":0.00008459739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001432232,"about_ca_topic_score_gemma":0.001293708,"domain_scores_codex":[0.9990742,0.000007837652,0.0002644455,0.0003721112,0.00007625727,0.0002051389],"domain_scores_gemma":[0.9992726,0.00005056864,0.0001115915,0.0003692964,0.0001278933,0.00006804502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005247516,0.003838202,0.5344855,0.000383169,0.0001808037,0.004966235,0.1140219,0.001511623,0.005219708,0.3266958,0.00119037,0.007454176],"study_design_scores_gemma":[0.005627669,0.002349348,0.6878859,0.0002071455,0.00006885897,0.001114989,0.2284539,0.01339532,0.01624092,0.01801452,0.02499726,0.001644061],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98194,0.0003932156,0.00001500392,0.0008021107,0.000333236,0.0001209525,0.00002155637,0.00001148299,0.01636239],"genre_scores_gemma":[0.9987288,0.00002167234,0.0002050934,0.0006515727,0.00002865637,0.000007315156,4.810057e-7,0.000004898629,0.0003514827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3086813,"threshold_uncertainty_score":0.3201701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04354865930274617,"score_gpt":0.26579516156856,"score_spread":0.2222465022658139,"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."}}