{"id":"W3152533013","doi":"","title":"Project Categorization: Evidence from Large Dam Projects in Africa","year":2017,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Public-Private Partnership Projects","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Categorization; Computer science; Construction engineering; Engineering; 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":[0.005720149,0.000362935,0.0003738142,0.004737006,0.002064568,0.002117354,0.00102105,0.0009577473,0.00377359],"category_scores_gemma":[0.05138139,0.0003915072,0.0002208103,0.009610428,0.00159327,0.003018069,0.002258647,0.0007711789,0.0005227223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001608944,"about_ca_system_score_gemma":0.002600595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03373708,"about_ca_topic_score_gemma":0.06245589,"domain_scores_codex":[0.9962025,0.001834675,0.0002397988,0.0004417193,0.000776278,0.0005049877],"domain_scores_gemma":[0.9403751,0.03337133,0.01717735,0.002635981,0.004797145,0.00164312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003785751,0.0003216055,0.8656582,0.0009865316,0.0001150408,0.0008052562,0.03882353,0.0005298607,0.0009712146,0.004035936,0.00536435,0.08200992],"study_design_scores_gemma":[0.00002357434,0.00007268309,0.9337842,0.0008660946,0.00006019633,0.0003217691,0.04984822,0.0007408718,0.0005152723,0.002154761,0.01158941,0.00002296162],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920194,0.001138116,0.0009121142,0.000594079,0.000008968401,0.00008306126,0.000607628,0.000007007141,0.004629724],"genre_scores_gemma":[0.997056,0.00081362,0.0007471802,0.00007505272,0.000007067606,0.00008119221,0.0005172399,0.000009999129,0.0006927655],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03373708,"threshold_uncertainty_score":0.06708145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0689823948225184,"score_gpt":0.2767374271817443,"score_spread":0.2077550323592259,"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."}}