{"id":"W2327441640","doi":"10.1061/41020(339)95","title":"Mapping Actors and Roles in Construction Knowledge","year":2009,"lang":"en","type":"article","venue":"Construction Research Congress 2009","topic":"BIM and Construction Integration","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Process (computing); Knowledge management; Computer science; Product (mathematics); Root (linguistics); Data science","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":[0.005564991,0.0006325696,0.0003598824,0.007316379,0.002682534,0.006553257,0.0008949673,0.001705144,0.003187008],"category_scores_gemma":[0.008529229,0.000598119,0.0007509416,0.005238782,0.006474783,0.01396095,0.004465176,0.001435543,0.000435102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00402881,"about_ca_system_score_gemma":0.003559409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01313582,"about_ca_topic_score_gemma":0.0125864,"domain_scores_codex":[0.9947114,0.00331144,0.0003974874,0.0005308646,0.0007270633,0.0003217717],"domain_scores_gemma":[0.9966038,0.002121774,0.0002722048,0.0005119053,0.00034489,0.0001454471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002299776,0.0000173399,0.001711019,0.00007960796,0.000008087938,0.0001385328,0.009858601,0.002729478,0.0006487986,0.9575149,0.0005481293,0.02672246],"study_design_scores_gemma":[0.00001625386,0.00001919298,0.002435855,0.0003966542,0.00003858873,0.0003120301,0.02646709,0.02413482,0.001558045,0.8626655,0.08191907,0.0000369564],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07884422,0.00139846,0.8142405,0.003539553,0.0001179231,0.0003480919,0.0002777606,0.000225384,0.1010081],"genre_scores_gemma":[0.6757768,0.001481232,0.3140323,0.0002156595,0.00002424909,0.0004730393,0.0005079559,0.00007673241,0.00741201],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01313582,"threshold_uncertainty_score":0.02943081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02711752455771348,"score_gpt":0.3020181346145985,"score_spread":0.274900610056885,"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."}}