{"id":"W4386815053","doi":"10.52842/conf.ecaade.2023.2.001","title":"eCAADe 2023 Digital Design Reconsidered - Volume 2","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; Environmental 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002702532,0.000818355,0.0004617357,0.001353064,0.002971069,0.01428632,0.001637658,0.006051347,0.1426289],"category_scores_gemma":[0.003712216,0.0003648962,0.0007185853,0.001761887,0.003386906,0.004893656,0.003797025,0.005200157,0.05104667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005415923,"about_ca_system_score_gemma":0.005571187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009294461,"about_ca_topic_score_gemma":0.01764475,"domain_scores_codex":[0.9976922,0.0005363655,0.0001103502,0.0003006741,0.00105704,0.0003033024],"domain_scores_gemma":[0.9983763,0.0002750688,0.00004810142,0.0003258101,0.0006346661,0.0003400905],"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":[0.00003489498,0.00004310467,0.0001271347,0.0001639409,0.000006532605,0.0001529654,0.0003043793,0.0003343903,0.0003353394,0.1325809,0.7754101,0.09050643],"study_design_scores_gemma":[0.000001185676,0.000003160325,0.00004013762,0.00007356716,9.23127e-7,0.00003742855,0.00006857422,0.00003250996,0.00004414899,0.002835136,0.996861,0.000002310367],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001502305,0.03790031,0.004249868,0.0522888,0.04773214,0.00004994899,0.0004553363,0.0004893403,0.8553318],"genre_scores_gemma":[0.01227621,0.0108315,0.002926159,0.007379998,0.002728823,0.00005208101,0.0004416666,0.0004532895,0.9629102],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1426289,"threshold_uncertainty_score":0.4771412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02016539997110923,"score_gpt":0.1978999164998222,"score_spread":0.1777345165287129,"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."}}