{"id":"W3123491857","doi":"10.2139/ssrn.2421977","title":"Limited Capacity in Project Selection: Competition Through Evidence Production","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Principal (computer security); Production (economics); Constraint (computer-aided design); Selection (genetic algorithm); Quality (philosophy); Microeconomics; Economics; Competition (biology); Principal–agent problem; Computer science; Artificial intelligence; Engineering; Computer security","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":[0.06516546,0.001182616,0.005062815,0.005657561,0.001889457,0.01141448,0.004328344,0.00696317,0.01470345],"category_scores_gemma":[0.3019812,0.002009847,0.001737464,0.004942988,0.01158569,0.01729193,0.007730807,0.005343347,0.0007020814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003319172,"about_ca_system_score_gemma":0.003821647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002532701,"about_ca_topic_score_gemma":0.002522235,"domain_scores_codex":[0.956291,0.03384859,0.001941739,0.003141569,0.003057291,0.001719839],"domain_scores_gemma":[0.3554285,0.6072877,0.01699818,0.0115356,0.004990238,0.003759834],"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":[0.002455281,0.0006092398,0.02346339,0.001645404,0.001231877,0.001837826,0.001425862,0.1369715,0.00116313,0.7314872,0.002710616,0.09499864],"study_design_scores_gemma":[0.0002786595,0.0002426622,0.002405017,0.0002262023,0.0001419167,0.000234075,0.0003463134,0.09828611,0.0003129985,0.8965662,0.0008771123,0.00008273397],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4610232,0.007293131,0.461289,0.01672261,0.0002088175,0.0005582611,0.0006750741,0.00028535,0.05194457],"genre_scores_gemma":[0.9794258,0.0007688022,0.01687543,0.0002401105,0.0001147658,0.0001707061,0.00006611571,0.00002560556,0.002312645],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06516546,"threshold_uncertainty_score":0.344632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1539669493144542,"score_gpt":0.3751803023925557,"score_spread":0.2212133530781015,"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."}}