{"id":"W1987100974","doi":"10.1002/sres.604","title":"The Three Gorges Dam Project from a systems viewpoint","year":2004,"lang":"en","type":"article","venue":"Systems Research and Behavioral Science","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Three gorges; Schedule; Yangtze river; Operations research; Project team; Civil engineering; Engineering management; Computer science; Construction engineering; Engineering; China; Political science; Knowledge management","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":[0.002386563,0.0003927411,0.0001856151,0.0009157804,0.001885559,0.004006195,0.0007440417,0.0008735087,0.004771032],"category_scores_gemma":[0.002165638,0.0002227472,0.0002295107,0.00115392,0.004223404,0.001535668,0.002546777,0.001014584,0.0001455813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003832123,"about_ca_system_score_gemma":0.005443027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02317009,"about_ca_topic_score_gemma":0.02278404,"domain_scores_codex":[0.9985461,0.0008977855,0.0000343898,0.00007419459,0.0002734632,0.0001740676],"domain_scores_gemma":[0.9983743,0.0007602046,0.000171372,0.00008888517,0.0002884924,0.0003166442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000516419,0.0006300028,0.06723668,0.001460637,0.0002163867,0.005509801,0.05352094,0.1255323,0.01076466,0.55546,0.02968334,0.1494688],"study_design_scores_gemma":[0.0003924943,0.001681593,0.09839386,0.0008785441,0.0001997632,0.001424847,0.1628798,0.1323898,0.01505106,0.2982059,0.2882586,0.0002436109],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9128849,0.001152083,0.0194303,0.01414382,0.00009926077,0.0002621825,0.0003496816,0.000160346,0.05151729],"genre_scores_gemma":[0.9934164,0.0003906582,0.003466613,0.000134106,0.00001016502,0.00009254926,0.00007303131,0.000008988365,0.002407473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02317009,"threshold_uncertainty_score":0.04607046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5544208662952779,"score_gpt":0.5550104851021753,"score_spread":0.0005896188068974517,"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."}}