{"id":"W1977567553","doi":"10.1007/s10845-008-0118-0","title":"Developing alternative design concepts in VR environments using volumetric self-organizing feature maps","year":2008,"lang":"en","type":"article","venue":"Journal of Intelligent Manufacturing","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada; Western University","funders":"","keywords":"Process (computing); Function (biology); Node (physics); Point (geometry); Set (abstract data type); Conceptual design; Engineering drawing; Feature (linguistics); Computer science; CAD; Computer Aided Design; Engineering design process; Engineering; Human–computer interaction; Mechanical engineering; Geometry; Structural engineering","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":[0.0005843195,0.0006400409,0.0003819511,0.0004944977,0.0002822985,0.001106611,0.00104135,0.0008177953,0.00279652],"category_scores_gemma":[0.001433461,0.0005786146,0.000730698,0.0003598375,0.0006410393,0.001656617,0.001037773,0.0006390912,0.0003373007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004486523,"about_ca_system_score_gemma":0.0004876681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001598614,"about_ca_topic_score_gemma":0.002557731,"domain_scores_codex":[0.9996763,0.00008885437,0.00001394094,0.0000542304,0.0001324113,0.00003418488],"domain_scores_gemma":[0.9995804,0.0002356361,0.00003530816,0.00004993354,0.00007686659,0.00002182157],"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":[0.00007619226,0.0001602646,0.0008060129,0.0002231761,0.00005457041,0.000198453,0.0007244489,0.7395549,0.02448356,0.05691818,0.001171562,0.1756288],"study_design_scores_gemma":[0.00001475915,0.00006527062,0.000120591,0.00001283209,0.00001117345,0.00004482674,0.0001040169,0.9802376,0.003094889,0.0138273,0.002454381,0.00001244754],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03149504,0.00006720899,0.9650078,0.0000534579,0.00001371384,0.00004811315,0.00001683649,0.0002759715,0.003021945],"genre_scores_gemma":[0.3465409,0.0001418721,0.6514573,0.00003338308,0.000007652093,0.0001388291,0.00005293264,0.00008773457,0.001539414],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00279652,"threshold_uncertainty_score":0.009355307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03765773318878209,"score_gpt":0.2494745846001829,"score_spread":0.2118168514114008,"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."}}