{"id":"W7068949721","doi":"","title":"Fight!","year":2022,"lang":"en","type":"other","venue":"Goldsmiths (University of London)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Exhibition; Performance art; Biography; George (robot)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001934257,0.0001683644,0.0005915593,0.0005288989,0.0001322691,0.00001325861,0.0005592302,0.0001274907,0.5248296],"category_scores_gemma":[0.00001212413,0.0002549975,0.0002378747,0.0002090524,0.0001801013,0.00008409796,0.0004003721,0.0001419794,0.02316651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001200968,"about_ca_system_score_gemma":0.00002197447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001688947,"about_ca_topic_score_gemma":0.0002002598,"domain_scores_codex":[0.9990269,0.000009959124,0.0001810045,0.0005082081,0.00004444587,0.0002294671],"domain_scores_gemma":[0.9989181,0.00001762214,0.0005461354,0.0004450155,0.000009572214,0.00006355877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007086751,0.00003726135,0.001374644,0.0000386225,0.0001726416,0.00001432826,0.0002993147,0.000003496837,1.14699e-7,0.03431937,0.9635186,0.0002145071],"study_design_scores_gemma":[0.0004888994,0.00002319345,0.0003418755,0.00001370133,0.0000185348,0.000001102004,0.001018674,0.00002596011,2.260605e-7,0.0006216291,0.9971889,0.0002572992],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00007512,0.002705196,0.00008400482,0.0001427264,0.001406016,0.0001521504,0.002742071,0.00008869319,0.992604],"genre_scores_gemma":[0.0002706855,0.0009131662,0.0005470179,0.00006735917,0.00005533724,5.128922e-7,0.0000470762,0.00009152471,0.9980073],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5016631,"threshold_uncertainty_score":0.9999902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0189884172810799,"score_gpt":0.1572807354650844,"score_spread":0.1382923181840045,"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."}}