{"id":"W7058168398","doi":"","title":"Misallocation and Productivity: Micro Evidence from Bangladesh","year":2016,"lang":"en","type":"other","venue":"YorkSpace (York University)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Total factor productivity; Production (economics); Productivity; Marginal revenue; Marginal product; Capital (architecture); Aggregate (composite); Distribution (mathematics); Factors of production","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006791165,0.0002177921,0.0002159626,0.0003160957,0.00007422258,0.00005555212,0.000305688,0.0001135366,0.1468566],"category_scores_gemma":[0.00001121839,0.000212212,0.00005319047,0.0002240637,0.0001338833,0.00003444564,0.0002264829,0.0001787323,0.000376315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000206659,"about_ca_system_score_gemma":0.0001426951,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007641087,"about_ca_topic_score_gemma":0.001079453,"domain_scores_codex":[0.9988626,0.00009424622,0.00007083023,0.0005277859,0.0002076677,0.000236824],"domain_scores_gemma":[0.9991286,0.0001277913,0.0001432507,0.0004397311,0.00004140764,0.0001192558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003635649,0.00005968396,0.00725951,0.000043117,0.0001384042,0.00000999023,0.0001345505,1.29009e-7,0.003566683,0.001381482,0.8662627,0.1211074],"study_design_scores_gemma":[0.0003557148,0.0000202687,0.0006427955,0.0004732685,0.00005780342,1.236604e-7,0.0003072628,0.000005102514,0.0002914573,0.00002796488,0.9975751,0.0002431551],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001179594,0.0006137501,0.002025434,0.002784129,0.0001727274,0.0006045694,0.0001206451,0.0001078143,0.9923913],"genre_scores_gemma":[0.001888908,0.0001401963,0.0007901373,0.000008349271,0.0004683275,0.00000225501,0.0000375352,0.00007919229,0.9965851],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1464803,"threshold_uncertainty_score":0.9989671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01371668570631576,"score_gpt":0.2228146744258049,"score_spread":0.2090979887194891,"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."}}