{"id":"W1882202052","doi":"10.4324/9781315767727","title":"Special Event Production: The Process","year":2015,"lang":"en","type":"book","venue":"","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Event (particle physics); Process (computing); Production (economics); Computer science; Programming language; Economics; Physics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001097366,0.0001466708,0.0001749726,0.00004003574,0.0003589412,0.00007060268,0.0003805898,0.0001991635,0.00337703],"category_scores_gemma":[0.0002233622,0.00009082935,0.00008873454,0.0001136112,0.0002560518,0.0001363424,0.00002870789,0.0002414548,0.0005530473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003300473,"about_ca_system_score_gemma":0.00420563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001223035,"about_ca_topic_score_gemma":0.002560244,"domain_scores_codex":[0.9983405,0.00003672139,0.0001685523,0.0002299898,0.000940028,0.0002841947],"domain_scores_gemma":[0.9991751,0.00001762357,0.0001447118,0.000229691,0.0002678301,0.0001650763],"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":[0.000006533304,0.0000162016,0.000005440516,0.000007205712,0.00001285863,0.000002519995,0.005732445,0.000002177269,4.119396e-8,0.04832752,0.9420639,0.003823166],"study_design_scores_gemma":[0.00004945591,0.00001627241,0.000008298394,0.00003241051,0.00002986114,0.000002010907,0.0007660149,8.908671e-8,0.000003747769,0.02165938,0.9772928,0.0001396981],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001893669,0.0001733038,0.000001155504,0.005690473,0.007311444,0.0006197307,0.000002324236,0.00008399156,0.9859282],"genre_scores_gemma":[0.00081853,0.00006970692,0.000004862817,0.000189855,0.07760224,0.00001540699,0.00001768362,0.00001536018,0.9212664],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0702908,"threshold_uncertainty_score":0.997534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05436369755483814,"score_gpt":0.3505697975296944,"score_spread":0.2962060999748563,"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."}}