{"id":"W2073955455","doi":"10.1145/2460625.2460672","title":"C4","year":2013,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Networks of Centres of Excellence of Canada; Natural Sciences and Engineering Research Council of Canada; Singapore-MIT Alliance for Research and Technology Centre; Alberta Innovates - Technology Futures","keywords":"Computer science; Interactivity; Human–computer interaction; Architecture; Multimedia; Graphics; Coding (social sciences); Class (philosophy); Programming language; Space (punctuation); Computer graphics (images); Artificial intelligence; Operating system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00001910907,0.00001679071,0.00001747422,0.00001548306,0.0000144612,0.0001192701,0.0002309812,0.000005759945,0.0006766021],"category_scores_gemma":[0.000006222573,0.00001248305,0.000006885286,0.0000966534,0.000003950339,0.0003226268,0.00006349253,0.000008708498,0.003006758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001682057,"about_ca_system_score_gemma":0.00000510177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001446061,"about_ca_topic_score_gemma":7.266433e-7,"domain_scores_codex":[0.999811,0.00000370199,0.00003536101,0.00005550448,0.00004820654,0.00004620333],"domain_scores_gemma":[0.9997882,0.000004995376,0.000006229557,0.0001507676,0.00002232972,0.00002749762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[6.406101e-9,0.000007617139,0.0001791237,4.852524e-7,8.583231e-7,1.969934e-7,0.00002017478,0.000001738608,0.00006446348,0.8512022,0.1315111,0.01701201],"study_design_scores_gemma":[0.00008766617,0.00001253119,0.003025804,0.000001564583,5.706187e-7,0.000002013367,0.00001829155,0.7708967,0.001133373,0.01569765,0.2090247,0.00009910922],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0002554018,0.000002187857,0.9264522,0.001173861,0.00004251147,0.0000156137,8.166432e-8,0.00008984895,0.07196828],"genre_scores_gemma":[0.7769266,0.000008965928,0.1486923,0.01268006,0.00005110588,0.000005253604,0.00000543755,0.000004123441,0.06162607],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8355045,"threshold_uncertainty_score":0.9977695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01961455115241465,"score_gpt":0.2784666106361957,"score_spread":0.258852059483781,"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."}}