{"id":"W2132272389","doi":"10.1061/9780784412329.123","title":"Data Management for Construction Processes Using Fuzzy Approach","year":2012,"lang":"en","type":"article","venue":"Construction Research Congress 2012","topic":"BIM and Construction Integration","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Fuzzy logic; Data mining; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006445534,0.0007235276,0.001109521,0.005315847,0.00221264,0.005900221,0.00229206,0.00112958,0.003397045],"category_scores_gemma":[0.01483817,0.0006051559,0.002017677,0.00518218,0.0008223899,0.004759065,0.002121105,0.001543482,0.001006235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002548798,"about_ca_system_score_gemma":0.004233209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01345312,"about_ca_topic_score_gemma":0.008559581,"domain_scores_codex":[0.9947435,0.000914816,0.001132494,0.0009796104,0.001994757,0.0002347993],"domain_scores_gemma":[0.99313,0.002843475,0.0006566219,0.001144152,0.002072712,0.0001530337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003974086,0.0003694636,0.008045782,0.001154343,0.0002855518,0.0007890723,0.002401618,0.1500569,0.01103142,0.1081805,0.007489045,0.7097989],"study_design_scores_gemma":[0.00007665522,0.0001448097,0.003502762,0.0004704581,0.0001866631,0.0004537742,0.001531535,0.8021793,0.01984379,0.1001622,0.07129688,0.0001512169],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007400671,0.0003081511,0.9854138,0.0003262042,0.00005372561,0.0004905353,0.001213058,0.001538475,0.003255328],"genre_scores_gemma":[0.1299063,0.0005656885,0.8641868,0.00009450083,0.00003974233,0.0006820523,0.002751948,0.00008935486,0.001683724],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01345312,"threshold_uncertainty_score":0.0340876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1465404976771146,"score_gpt":0.3631286054562894,"score_spread":0.2165881077791748,"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."}}