{"id":"W2090252087","doi":"10.1061/(asce)0733-9364(2005)131:9(993)","title":"Technical Knowledge Consolidation using Theory of Inventive Problem Solving","year":2005,"lang":"en","type":"article","venue":"Journal of Construction Engineering and Management","topic":"BIM and Construction Integration","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Natural Sciences and Engineering Research Council of Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Consolidation (business); Profitability index; Contradiction; Process (computing); Asset (computer security); Domain knowledge; Domain (mathematical analysis); Knowledge management; Management science; Engineering; Mathematics; Business","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":[0.006488457,0.0008835547,0.001160742,0.007521633,0.001221828,0.006645987,0.002715489,0.001480159,0.003620903],"category_scores_gemma":[0.01472247,0.0006939335,0.002267135,0.003408698,0.006487092,0.01044942,0.004411483,0.002224028,0.0004764797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00264964,"about_ca_system_score_gemma":0.002927996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001588498,"about_ca_topic_score_gemma":0.001756986,"domain_scores_codex":[0.9953716,0.00187692,0.0004924541,0.0006359387,0.001429449,0.0001936378],"domain_scores_gemma":[0.9880822,0.008698109,0.0006930811,0.001268839,0.001122156,0.0001356584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003131489,0.0001766421,0.001724867,0.0005037308,0.0001376191,0.0003135794,0.005077298,0.035437,0.001331842,0.8009957,0.001000086,0.1532703],"study_design_scores_gemma":[0.00005077777,0.00006729931,0.0006600749,0.0002777576,0.00006210976,0.0003506788,0.00196378,0.1879499,0.002863319,0.7872893,0.0184056,0.000059383],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01412578,0.0005726643,0.9703311,0.0006783647,0.00003730986,0.0002650455,0.00003470316,0.0001323828,0.01382269],"genre_scores_gemma":[0.2288685,0.001139182,0.7657307,0.0001908602,0.00005388142,0.0007259505,0.0001860893,0.00003805862,0.003066664],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007521633,"threshold_uncertainty_score":0.03431463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0086191784857593,"score_gpt":0.2112510238382955,"score_spread":0.2026318453525362,"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."}}