{"id":"W3028401961","doi":"","title":"THE IMPACT OF INFORMATION QUALITY AND PROVIDER CREDIBILITY ON BIG DATA ANALYTICS USE: THE ROLE OF ANALYTICAL SKILLS AND THINKING STYLE","year":2020,"lang":"en","type":"article","venue":"Journal of the Association for Information Systems","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Credibility; Analytics; Big data; Quality (philosophy); Style (visual arts); Computer science; Data science; Information quality; Knowledge management; Information system; Data mining; Engineering","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":[0.01083954,0.0002201414,0.0002269295,0.001553612,0.0007804367,0.003740765,0.0003508531,0.0007799567,0.002524939],"category_scores_gemma":[0.1325601,0.0002710742,0.0004553046,0.001004816,0.001686897,0.002104668,0.001838232,0.001681444,0.000246775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008544062,"about_ca_system_score_gemma":0.001622138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002751688,"about_ca_topic_score_gemma":0.002351256,"domain_scores_codex":[0.9894612,0.005887488,0.0006002664,0.0004252607,0.003045998,0.0005797709],"domain_scores_gemma":[0.7074124,0.2388337,0.02913523,0.007131748,0.008685452,0.008801596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002922552,0.0005425786,0.9481319,0.00009295218,0.0001659041,0.0001530711,0.01234046,0.000571736,0.001289937,0.002019517,0.0002366376,0.03416318],"study_design_scores_gemma":[0.00005012085,0.0005596119,0.9664413,0.0001643655,0.0001334232,0.0005352065,0.0161893,0.007007863,0.001720678,0.005328981,0.001793029,0.00007622086],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932139,0.0001140251,0.001399935,0.0005933972,0.000007908172,0.00002650605,0.00002668094,0.000010181,0.00460739],"genre_scores_gemma":[0.999076,0.00006471381,0.0006110362,0.00005239585,0.000008529569,0.000006671411,0.00001385618,0.000004625225,0.0001621041],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01083954,"threshold_uncertainty_score":0.05732566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1178768571879367,"score_gpt":0.334169350540642,"score_spread":0.2162924933527053,"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."}}