{"id":"W3097550964","doi":"10.1080/01446193.2020.1831037","title":"Integrated construction supply chain: an optimal decision-making model with third-party logistics partnership","year":2020,"lang":"en","type":"article","venue":"Construction Management and Economics","topic":"Outsourcing and Supply Chain Management","field":"Business, Management and Accounting","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Supply chain; General partnership; Order (exchange); Supply chain management; Business; Decision model; Computer science; Third party; Operations research; Engineering; Marketing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001999254,0.001468497,0.001555863,0.001183901,0.001355407,0.003902973,0.00240783,0.003693495,0.009816331],"category_scores_gemma":[0.003274839,0.001185979,0.002053061,0.001777458,0.001465044,0.002044669,0.002385306,0.002392778,0.0008673118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004185162,"about_ca_system_score_gemma":0.004078525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03984094,"about_ca_topic_score_gemma":0.02041169,"domain_scores_codex":[0.9987022,0.0005289324,0.00005404843,0.0002587803,0.0001785081,0.0002775445],"domain_scores_gemma":[0.9982898,0.0009493994,0.0002199747,0.00005639728,0.0002938754,0.0001907282],"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":[0.00004959993,0.00003863403,0.0004906297,0.00003234446,0.00002330133,0.0001198254,0.0000638385,0.9855258,0.0001377494,0.01158597,0.0002253375,0.001706916],"study_design_scores_gemma":[0.00002315888,0.00002721812,0.0001329107,0.000009523811,0.00001641149,0.00001198735,0.00004354657,0.9945861,0.00005005252,0.004595781,0.000492701,0.00001057266],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2416062,0.001514148,0.6717975,0.002689283,0.0002399209,0.0006085833,0.001782502,0.0003879015,0.07937388],"genre_scores_gemma":[0.9451401,0.0007117305,0.03834537,0.00011036,0.00003947109,0.0004940497,0.0003887847,0.00003673823,0.01473344],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03984094,"threshold_uncertainty_score":0.07921809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02554941713987919,"score_gpt":0.2142147740064871,"score_spread":0.1886653568666079,"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."}}