{"id":"W2789831210","doi":"10.1080/16864360.2018.1441236","title":"Graph centrality analysis of feature dependencies to unveil modeling intents","year":2018,"lang":"en","type":"article","venue":"Computer-Aided Design and Applications","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Deutsche Forschungsgemeinschaft","keywords":"Centrality; Computer science; CAD; Parametric statistics; Domain (mathematical analysis); Graph; Parametric model; Parametric design; Feature (linguistics); Engineering drawing; Theoretical computer science; Engineering; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007586115,0.00009530428,0.0001572532,0.0001911053,0.00008038666,0.00003677144,0.0001234543,0.00004769716,0.000007322059],"category_scores_gemma":[0.000003510412,0.00009254357,0.00004201956,0.0005880098,0.00002277519,0.0000581562,0.0000321722,0.00005041646,0.000002968394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001487199,"about_ca_system_score_gemma":0.000006004508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001268831,"about_ca_topic_score_gemma":0.000008682268,"domain_scores_codex":[0.9994665,0.0000116828,0.0001519943,0.0001709414,0.00007884786,0.0001200013],"domain_scores_gemma":[0.9995711,0.00003157011,0.00002548811,0.0001940922,0.0001007376,0.00007703446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003290758,0.00001515982,0.0001327591,0.00002952883,0.0001214907,6.568898e-8,0.0001877787,0.9895808,0.0002916565,0.0005788462,0.0002505664,0.008808037],"study_design_scores_gemma":[0.00006294073,0.000015749,0.001553068,0.00001097669,0.0001131179,3.643707e-7,0.00001309587,0.9948294,0.002360772,0.0005807743,0.0003603707,0.00009933353],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02734351,0.00007634188,0.9720867,0.00004146523,0.00003212792,0.0002217252,0.000008100441,0.0001120607,0.0000779572],"genre_scores_gemma":[0.8859532,0.00004622547,0.1138016,0.00006499032,0.00005072475,0.00004230343,0.00001849624,0.000008697492,0.00001375941],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8586097,"threshold_uncertainty_score":0.3773817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02257806652048205,"score_gpt":0.2352154589838598,"score_spread":0.2126373924633777,"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."}}