{"id":"W1969015779","doi":"10.1139/l08-133","title":"Decision-making support model for reusable construction materials in multiple project management","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Procurement; Reuse; Process (computing); Request for proposal; Materials management; Resource (disambiguation); Construction management; Decision support system; Construction engineering; Computer science; Systems engineering; Process management; Operations management; Business; Engineering; Civil engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003751233,0.001570609,0.001888232,0.001882565,0.001883966,0.004770549,0.003250402,0.003268984,0.01585545],"category_scores_gemma":[0.004555041,0.0008122904,0.001402479,0.001960171,0.001171806,0.002296171,0.001757486,0.002137257,0.001414299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005348109,"about_ca_system_score_gemma":0.005139043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0323225,"about_ca_topic_score_gemma":0.01908876,"domain_scores_codex":[0.9978735,0.0008125363,0.000128494,0.000382899,0.000327983,0.0004745792],"domain_scores_gemma":[0.9969413,0.00195716,0.0003146904,0.00006606606,0.0004285822,0.0002922019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001836124,0.000177512,0.001078913,0.00008430659,0.00005286438,0.000462725,0.0002011431,0.9625601,0.0004732862,0.02542043,0.0007537137,0.008551422],"study_design_scores_gemma":[0.00005834459,0.00005315223,0.0001249552,0.00001019996,0.00002002033,0.0000194035,0.00005399343,0.9947436,0.0001311898,0.004258305,0.0005153166,0.00001148426],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1557973,0.0004500945,0.8023631,0.002931035,0.0001500091,0.001068927,0.001845715,0.000979568,0.03441434],"genre_scores_gemma":[0.9009134,0.0004143912,0.08637804,0.0001505779,0.00006700223,0.001279794,0.0008374274,0.00003214481,0.009927262],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0323225,"threshold_uncertainty_score":0.06426871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04734747103327051,"score_gpt":0.3048105748557589,"score_spread":0.2574631038224884,"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."}}