{"id":"W6921634916","doi":"10.1051/itmconf/20246601003/pdf","title":"Customer Intelligence in the Cultural Sector: The Case of a Quebec Museum","year":2024,"lang":"en","type":"article","venue":"Springer Link (Chiba Institute of Technology)","topic":"Competitive and Knowledge Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Customer intelligence; Social media; Customer advocacy; Voice of the customer; Customer to customer; Exhibition; Process (computing); Key (lock); Customer engagement","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001810905,0.0003315845,0.0001974495,0.001212497,0.02604862,0.007859565,0.002025055,0.003180832,0.007030985],"category_scores_gemma":[0.00362636,0.0002539505,0.0003186368,0.002400562,0.00564227,0.00185837,0.003130214,0.002704023,0.0005572716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05980204,"about_ca_system_score_gemma":0.04777242,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.973835,"about_ca_topic_score_gemma":0.9880975,"domain_scores_codex":[0.998015,0.000619136,0.00002579096,0.00008867212,0.0003052825,0.0009460624],"domain_scores_gemma":[0.9965468,0.0008709281,0.0001847202,0.0001142788,0.001005634,0.00127764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0004593612,0.0009971958,0.1633045,0.0004491607,0.0001237032,0.07149923,0.4318301,0.00504311,0.003636832,0.1208198,0.08593488,0.1159022],"study_design_scores_gemma":[0.00003582803,0.0001012387,0.06578133,0.0003229177,0.00004013854,0.002022462,0.759448,0.004105542,0.0005054628,0.001982609,0.1655649,0.00008963412],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8628119,0.001037506,0.0008145021,0.02369716,0.00008640345,0.0001676215,0.0002143008,0.00004504033,0.1111256],"genre_scores_gemma":[0.9824326,0.0004011982,0.000394416,0.001366919,0.00001341156,0.0000183321,0.00005346015,0.00001438867,0.01530524],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05980204,"threshold_uncertainty_score":0.4338962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02304420536450605,"score_gpt":0.2639141384582477,"score_spread":0.2408699330937416,"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."}}