{"id":"W3199609878","doi":"10.5210/spir.v2021i0.12219","title":"ANALYZING PLATFORM POWER IN THE CULTURAL INDUSTRIES","year":2021,"lang":"en","type":"article","venue":"AoIR Selected Papers of Internet Research","topic":"Cultural Industries and Urban Development","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Monetization; Context (archaeology); Politics; Dominance (genetics); Business model; Business; Industrial organization; Marketing; Sociology; Economics; Political 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001410499,0.000096257,0.0001585782,0.0001127319,0.000263687,0.0002136152,0.0005492672,0.0001773181,0.001812119],"category_scores_gemma":[0.001980544,0.00006286889,0.00004598658,0.003050942,0.0004607027,0.0001893117,0.0001233632,0.0008576081,0.00001870502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002335214,"about_ca_system_score_gemma":0.0007550422,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01012574,"about_ca_topic_score_gemma":0.02393897,"domain_scores_codex":[0.9976822,0.0004429274,0.0002680467,0.0002250128,0.0008246839,0.0005571417],"domain_scores_gemma":[0.9982805,0.0004537599,0.00004862485,0.0001538402,0.0009874655,0.00007578138],"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":[0.0001206506,0.0002435358,0.1040115,0.00002166886,0.0001878828,0.0001831129,0.1602253,0.000005862919,0.008268097,0.02207883,0.6827353,0.02191823],"study_design_scores_gemma":[0.0003503579,0.0001215847,0.05115274,0.0001427549,0.00000571284,0.00001080946,0.2457044,0.000006150886,0.01401345,0.0001599394,0.6881266,0.0002055407],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8671474,0.0004302798,3.800619e-7,0.007516946,0.00006664707,0.0001767143,0.000002239858,0.00001630018,0.124643],"genre_scores_gemma":[0.959774,0.0001983123,0.00002589566,0.00007527405,0.00006075803,0.00001622918,0.0000190718,0.000005261412,0.03982522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09262651,"threshold_uncertainty_score":0.9991004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1043533318667761,"score_gpt":0.3825337276051939,"score_spread":0.2781803957384178,"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."}}