{"id":"W2111537628","doi":"10.1109/pacrim.1991.160755","title":"An intelligent basis for design","year":2002,"lang":"en","type":"article","venue":"","topic":"Constraint Satisfaction and Optimization","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"CAD; Computer science; Expert system; Backtracking; Constraint (computer-aided design); Knowledge base; Process (computing); Dependency (UML); Software engineering; Object (grammar); Human–computer interaction; Computer Aided Design; Systems engineering; Engineering drawing; Artificial intelligence; Engineering; Programming language; Operating system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003286404,0.001013853,0.0007074606,0.00196232,0.002336856,0.007517092,0.002329926,0.002416989,0.01807523],"category_scores_gemma":[0.004449588,0.0006484431,0.0009737223,0.001584088,0.01120108,0.007234332,0.003843674,0.003205832,0.007095565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003127954,"about_ca_system_score_gemma":0.002707171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001971652,"about_ca_topic_score_gemma":0.002184245,"domain_scores_codex":[0.9974267,0.001021512,0.0002062539,0.0004663429,0.0007356442,0.0001434387],"domain_scores_gemma":[0.9982078,0.0005196916,0.0001123871,0.0007501165,0.000308612,0.000101503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000002733321,0.000004887509,0.00003697149,0.00004883598,0.000004031213,0.00001721858,0.0001533219,0.0006933666,0.00009804456,0.9851905,0.003074805,0.01067522],"study_design_scores_gemma":[0.000006492047,0.000008903372,0.00003998442,0.0001046829,0.000005025174,0.00005461195,0.00008462548,0.002571742,0.0001729832,0.7749596,0.2219821,0.000009343254],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002179801,0.009818759,0.5372828,0.01081526,0.0008655976,0.0001714617,0.0002145277,0.001069253,0.4375825],"genre_scores_gemma":[0.1723742,0.01021401,0.6941656,0.002945451,0.0007419403,0.001079704,0.0007505525,0.0005990861,0.1171295],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01807523,"threshold_uncertainty_score":0.06046766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06633627167629459,"score_gpt":0.267882326874829,"score_spread":0.2015460551985345,"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."}}