{"id":"W4400150771","doi":"10.1016/j.jik.2024.100510","title":"Quantum computing for market research","year":2024,"lang":"en","type":"article","venue":"Journal of Innovation & Knowledge","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institut de Física d'Altes Energies; Universitat de Barcelona","keywords":"Quantum; Computer science; Business; Physics; Quantum mechanics","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":[],"consensus_categories":[],"category_scores_codex":[0.004693673,0.00009782304,0.0001605679,0.001545314,0.0001823615,0.0006048646,0.0003232312,0.0000634664,0.000310589],"category_scores_gemma":[0.001329526,0.00007772131,0.0000573742,0.004053641,0.00005738609,0.00134446,0.0001163208,0.000340928,0.000181039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005336445,"about_ca_system_score_gemma":0.0001439301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006401816,"about_ca_topic_score_gemma":0.00000424047,"domain_scores_codex":[0.9986056,0.00001433414,0.0007123186,0.0001436025,0.0002988761,0.0002252709],"domain_scores_gemma":[0.9945131,0.0002825317,0.000260416,0.0001144319,0.004822939,0.00000657943],"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":[0.00006618621,0.00007879018,0.0007443471,0.0007531489,0.00003295632,0.000008172146,0.00006185765,0.00000619125,0.001808578,0.3495839,0.554517,0.09233889],"study_design_scores_gemma":[0.000168725,0.00001869308,0.001800421,0.0006257349,0.00001804339,0.00001676398,0.000156398,0.04250283,0.0002830897,0.01900253,0.9352978,0.0001089645],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.454931,0.005391838,0.3984512,0.01234367,0.01876729,0.0008567286,0.0000178046,0.0002401061,0.1090004],"genre_scores_gemma":[0.991154,0.0000168082,0.0007336565,0.00017896,0.006698171,0.000003137241,0.00001610369,0.00002486026,0.001174291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5362231,"threshold_uncertainty_score":0.5832723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2398841791623403,"score_gpt":0.4318395003173833,"score_spread":0.191955321155043,"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."}}