{"id":"W2902661537","doi":"10.5281/zenodo.2596796","title":"Geared Decisions: Experimenting with Decision Support Visualizations","year":2019,"lang":"en","type":"article","venue":"","topic":"Information Systems Theories and Implementation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Decision support system; Human–computer interaction; Process management; Data science; Business; Artificial intelligence","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":[0.009711218,0.001083861,0.0008438665,0.0006294819,0.0007361352,0.00288864,0.002034592,0.001864835,0.006518351],"category_scores_gemma":[0.05209129,0.0005924216,0.0007525471,0.0006208287,0.001675741,0.003595037,0.002374114,0.002050543,0.0006545534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007163556,"about_ca_system_score_gemma":0.0007530384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007716722,"about_ca_topic_score_gemma":0.000797602,"domain_scores_codex":[0.9912053,0.006739989,0.0003560124,0.0008356186,0.000617972,0.0002451095],"domain_scores_gemma":[0.9130988,0.07963205,0.001349168,0.00415219,0.0009405049,0.0008273129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01187158,0.02866915,0.04636734,0.00438483,0.0009302315,0.001891621,0.07715042,0.2329908,0.07902604,0.0801549,0.009431789,0.4271313],"study_design_scores_gemma":[0.004398077,0.01973825,0.01437181,0.0006454371,0.0005072086,0.0004862539,0.0102843,0.6997037,0.07084136,0.1427997,0.03566556,0.0005584687],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8752562,0.0002447232,0.1139055,0.0007997292,0.000117222,0.001021456,0.0003918109,0.0008312993,0.00743217],"genre_scores_gemma":[0.8347716,0.0001626963,0.1617805,0.0002042221,0.00002887279,0.001313168,0.0002499963,0.00008939661,0.001399502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009711218,"threshold_uncertainty_score":0.05135846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02766777332794563,"score_gpt":0.3844609908980499,"score_spread":0.3567932175701043,"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."}}