{"id":"W4241060178","doi":"10.7765/9781526143945.00014","title":"Notes","year":2021,"lang":"en","type":"book-chapter","venue":"Manchester University Press eBooks","topic":"Digital Games and Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Sussex; York University; London School of Economics and Political Science","keywords":"Realm; Elite; Broadcasting (networking); Emerging technologies; Set (abstract data type); Commodity; Competition (biology); Athletes; Order (exchange); Sociology; Political science; Media studies; Computer science; Law; Business; Computer security; Politics; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008046176,0.0001851537,0.0002447804,0.00005954948,0.0001100749,0.0001201323,0.0003539092,0.0003198044,0.0001684116],"category_scores_gemma":[0.00001689578,0.0002259916,0.0001861252,0.000005371061,0.0003475412,0.0001069573,0.0002520967,0.0002278711,0.00003146159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001264803,"about_ca_system_score_gemma":0.0001842899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001338563,"about_ca_topic_score_gemma":0.0004184643,"domain_scores_codex":[0.9989839,0.00002829571,0.00009309281,0.0003224174,0.000318548,0.0002537288],"domain_scores_gemma":[0.9992531,0.0000891666,0.00009577067,0.0002781749,0.00009760251,0.0001861849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009867518,0.00000642109,0.000004157685,0.00003090488,0.00005867978,0.0002808998,0.003777597,2.070959e-7,0.000001466106,0.9121101,0.001987699,0.08173195],"study_design_scores_gemma":[0.0001353953,0.00001147774,0.000007041672,0.0001280621,0.0000708566,8.83955e-7,0.0003903027,2.55756e-7,0.00002033229,0.0003816379,0.9986014,0.0002523751],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00002738971,0.000133822,0.00003244333,0.0001187181,0.000362979,0.0001692845,0.00003380346,0.00009652696,0.999025],"genre_scores_gemma":[0.0005233643,0.000190727,0.00008594104,0.00014227,0.000296302,2.680183e-7,0.00001731939,0.00002283615,0.9987209],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9966137,"threshold_uncertainty_score":0.9215671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04573907142157076,"score_gpt":0.232369646453245,"score_spread":0.1866305750316742,"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."}}