{"id":"W4289793927","doi":"10.5748/18contecsi/rex/prm/6862","title":"RESEARCH IN EVENTS: THE CASE OF JOINVILLE (BRAZIL)","year":2022,"lang":"en","type":"article","venue":"CONTECSI - International Conference on Information Systems and Technology Management","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Computer science; World Wide Web","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002744674,0.0004186967,0.0004551553,0.0008095453,0.01080755,0.004028299,0.001156706,0.001955661,0.005126958],"category_scores_gemma":[0.004367851,0.0003048242,0.0003930803,0.001617895,0.006391206,0.00227236,0.004258162,0.001769822,0.000335284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005480093,"about_ca_system_score_gemma":0.004843761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0620817,"about_ca_topic_score_gemma":0.1531804,"domain_scores_codex":[0.997725,0.001466107,0.00003807563,0.0001890839,0.0001444351,0.0004373988],"domain_scores_gemma":[0.9974246,0.001234266,0.0002343278,0.000145105,0.0002109682,0.0007507566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005168618,0.0001247027,0.007146402,0.0003058051,0.00001427777,0.006714493,0.9524812,0.0001427795,0.001799653,0.01691529,0.00187578,0.0124279],"study_design_scores_gemma":[0.00000747491,0.00008029681,0.01186938,0.0002414964,0.00001107354,0.001095475,0.891286,0.0001461681,0.0003864774,0.001683418,0.09317488,0.00001787795],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9507369,0.00103675,0.0015091,0.006102503,0.00008437419,0.0001578228,0.00008843368,0.00002284045,0.04026137],"genre_scores_gemma":[0.9904937,0.0009725746,0.0006487333,0.0006565595,0.00002668507,0.00007285854,0.00004283288,0.00001400129,0.007072075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0620817,"threshold_uncertainty_score":0.1234407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0829219725409001,"score_gpt":0.3872920141025246,"score_spread":0.3043700415616245,"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."}}