{"id":"W4386815052","doi":"10.52842/conf.ecaade.2023.1.001","title":"eCAADe 2023 Digital Design Reconsidered - Volume 1","year":2023,"lang":"en","type":"article","venue":"eCAADe proceedings","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universität Innsbruck; Universität Stuttgart; Istanbul Teknik Üniversitesi; Universidade do Porto; Universidade de São Paulo; Technische Universität Wien; Bauhaus-Universität Weimar; Nanchang University; Technische Universität München; KU Leuven; Università degli Studi di Torino; Universidad de Chile; Carnegie Mellon University; National University of Singapore; Eidgenössische Technische Hochschule Zürich; Chalmers Tekniska Högskola; Hague University of Applied Sciences; University of Texas at San Antonio; TU Graz, Internationale Beziehungen und Mobilitätsprogramme; Université Laval; Texas Tech University","keywords":"Volume (thermodynamics); Computer science; Physics; Thermodynamics","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":[],"category_scores_codex":[0.0001431135,0.0002103531,0.0001809838,0.0002131409,0.0001004016,0.0003236113,0.0001826045,0.0001263105,0.0002504998],"category_scores_gemma":[0.0001004114,0.0002220701,0.00005309503,0.0005043983,0.00002626227,0.0006764468,0.0000503425,0.000179234,0.001337953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005062702,"about_ca_system_score_gemma":0.00001457202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002340492,"about_ca_topic_score_gemma":3.194283e-7,"domain_scores_codex":[0.9988759,0.000001560288,0.0002427754,0.000268215,0.0001875212,0.0004239872],"domain_scores_gemma":[0.9996643,0.00002990448,0.00004071532,0.00008660428,0.00006277642,0.0001156678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003839309,0.00003752878,0.002515083,0.0009010142,0.0001463511,0.00002744123,0.002613521,0.2407846,0.002403575,0.0004110221,0.7229788,0.02714261],"study_design_scores_gemma":[0.0007674698,0.0001036302,0.004634547,0.0001752042,0.00003998732,0.00004220497,0.0005118809,0.8333027,0.03315599,0.00599197,0.1200849,0.001189487],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6067657,0.001230257,0.1128894,0.005372166,0.004367009,0.002921245,0.0001660563,0.02974417,0.236544],"genre_scores_gemma":[0.9873078,0.0001498129,0.003370204,0.00004825977,0.000267817,0.00008513102,0.00003726847,0.0001065668,0.00862711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6028939,"threshold_uncertainty_score":0.9994396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02099711353895324,"score_gpt":0.1984037000353963,"score_spread":0.177406586496443,"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."}}