{"id":"W4391597754","doi":"10.1016/j.dib.2024.110170","title":"Experiment data: Human-in-the-loop decision support in process control rooms","year":2024,"lang":"en","type":"article","venue":"Data in Brief","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission; H2020 Marie Skłodowska-Curie Actions; FP7 Coordination of Research Activities; Horizon 2020; Canadian Institute of Steel Construction","keywords":"Human-in-the-loop; Process (computing); Decision support system; Computer science; Control (management); Loop (graph theory); Decision process; Data science; Process management; Data mining; Human–computer interaction; Engineering; Artificial intelligence; Mathematics; Operating system","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001422782,0.0001364281,0.0002012074,0.0002613544,0.00004531606,0.000150985,0.001410182,0.00009034486,0.007355292],"category_scores_gemma":[0.0001212892,0.0001130089,0.00001934933,0.0003285865,0.00004118379,0.0007257583,0.0001927782,0.0003648708,0.0009686572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006373112,"about_ca_system_score_gemma":0.00005094154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004438547,"about_ca_topic_score_gemma":0.001621849,"domain_scores_codex":[0.9979892,0.000179323,0.0006168188,0.0006822504,0.000278651,0.0002538077],"domain_scores_gemma":[0.9977232,0.0003159683,0.00005722389,0.001848507,0.00001823455,0.00003682683],"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":[0.0003972858,0.001535821,0.008878225,0.00009901369,0.00007491199,0.001416864,0.02054349,0.00007429277,0.000312356,0.01595176,0.9007292,0.04998672],"study_design_scores_gemma":[0.003073427,0.00008491474,0.04810875,0.0002007905,0.00001358138,0.00008699989,0.003508826,0.007802692,0.00003529267,0.000549228,0.9362497,0.0002857604],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.850055,0.002378907,0.00706853,0.008177149,0.008877662,0.003282424,0.005603769,0.0005113877,0.1140451],"genre_scores_gemma":[0.9939334,0.00001107086,0.00005205999,0.001233081,0.0001515031,0.0001200164,0.003571593,0.00001900298,0.0009082287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1438784,"threshold_uncertainty_score":0.9998092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09510631297998234,"score_gpt":0.472274813494497,"score_spread":0.3771685005145146,"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."}}