{"id":"W1966727134","doi":"10.1115/detc2010-28458","title":"Integration of TRIZ and Virtual Environments for Hemp Scutcher Design","year":2010,"lang":"en","type":"article","venue":"","topic":"Design Education and Practice","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"TRIZ; Visualization; Computer science; Conceptual design; Virtual reality; Human–computer interaction; Product design; Virtual machine; Product (mathematics); Systems engineering; Engineering; Artificial intelligence","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":[0.0001455556,0.00003920884,0.00004214092,0.00002233647,0.00001124401,0.000009132619,0.00002481822,0.00003575711,0.0002266414],"category_scores_gemma":[0.00005735163,0.0000346224,0.000009476364,0.0000210039,0.0000112227,0.0001155859,0.000002188274,0.00005219354,0.0000124107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004867903,"about_ca_system_score_gemma":0.00000528842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002638776,"about_ca_topic_score_gemma":0.000002881295,"domain_scores_codex":[0.9997978,0.0000083815,0.00007187809,0.00004463764,0.00003335956,0.00004393522],"domain_scores_gemma":[0.9997636,0.0001342196,0.0000126104,0.00005972646,0.000005522088,0.00002433779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001248242,0.00001953553,0.00002182182,0.00000477814,0.000009324602,2.399977e-8,0.0002758158,0.0001101966,0.9610068,0.002782243,0.002698832,0.03305816],"study_design_scores_gemma":[0.0006403119,0.000118808,0.00320363,0.000004584238,0.00002900445,0.000003763829,0.0005063955,0.03000844,0.8568406,0.0006197953,0.1078577,0.0001669727],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1030629,0.00001468031,0.8926852,0.0000841464,0.0002925656,0.0001756975,0.000001479034,0.0000281648,0.003655143],"genre_scores_gemma":[0.961031,0.00001378513,0.03575286,0.00003916429,0.00002882797,0.00001740229,0.000002819183,0.000008304588,0.003105902],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.857968,"threshold_uncertainty_score":0.2481564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02620389264080723,"score_gpt":0.2584713391551937,"score_spread":0.2322674465143865,"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."}}