{"id":"W4387342293","doi":"10.1007/s12599-023-00835-6","title":"Challenges and Outcomes Using Big Data as a Service","year":2023,"lang":"en","type":"article","venue":"Business & Information Systems Engineering","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Brandon University","funders":"","keywords":"Big data; Service (business); Computer science; Data science; Data mining; Business","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001010157,0.0001793342,0.0002987214,0.0003952129,0.0003438864,0.00004728599,0.0002967797,0.0001942235,0.000005718552],"category_scores_gemma":[0.0007765092,0.000166928,0.00001278598,0.0007997261,0.00001004258,0.001540179,0.0004114073,0.0002505267,0.0009823454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009970341,"about_ca_system_score_gemma":0.0001874929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003788503,"about_ca_topic_score_gemma":0.0003328557,"domain_scores_codex":[0.9981458,0.00006453055,0.0008643618,0.000180755,0.0003049115,0.0004396159],"domain_scores_gemma":[0.9980538,0.0003801194,0.0002403153,0.0006372819,0.0005753601,0.0001130485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009568564,0.0000425166,0.09359923,0.08224899,0.00034777,0.00004261145,0.1455041,0.3591905,0.0006574514,0.04926639,0.00227842,0.2667263],"study_design_scores_gemma":[0.0002038844,0.000006416827,0.07442638,0.001619203,0.00001752454,0.00001477794,0.03442531,0.7998554,0.000005931365,0.00002490919,0.08905297,0.0003472976],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9645162,0.002110749,0.009604009,0.00410741,0.01250731,0.002508121,0.0001492545,0.002086122,0.002410797],"genre_scores_gemma":[0.9980151,0.0005924999,0.0001662212,0.000289259,0.0005506601,0.0001227144,0.0001761792,0.00003481891,0.00005253263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4406649,"threshold_uncertainty_score":0.9997955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4245542171318078,"score_gpt":0.4498036626769966,"score_spread":0.02524944554518882,"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."}}