{"id":"W3120798890","doi":"","title":"Estimating Technical Efficiency and Bootstrapping Malmquist Indices: Analysis of Malaysian Preschool Sector.","year":2016,"lang":"en","type":"article","venue":"Early childhood education","topic":"Optimization and Mathematical Programming","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Bootstrapping (finance); Malmquist index; Econometrics; Economics; Statistics; Mathematics; Macroeconomics; Productivity; Total factor productivity","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001271586,0.0001028634,0.0001746553,0.0002705543,0.00004516957,0.00004220552,0.00008758923,0.00006228669,0.00009398078],"category_scores_gemma":[0.000124841,0.00008238712,0.00005345717,0.0005324453,0.00004039283,0.0001785166,0.00001753616,0.00007152997,0.000006513012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003077447,"about_ca_system_score_gemma":0.00003932732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008232571,"about_ca_topic_score_gemma":0.00000217532,"domain_scores_codex":[0.9992845,0.00001484832,0.0002803669,0.000148842,0.000122389,0.000149059],"domain_scores_gemma":[0.9995776,0.00006370478,0.00007078893,0.0001679593,0.00003397711,0.0000859373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00001429963,0.0024954,0.1296506,0.001132596,0.002787158,0.000002317305,0.04086203,0.1572594,0.03583076,0.02138431,0.0008312117,0.6077499],"study_design_scores_gemma":[0.0004149218,0.00008853842,0.938661,0.0004956417,0.0006431683,0.00000756301,0.0002998559,0.05667519,0.001074212,0.001111058,0.00007759158,0.0004512639],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7693694,0.0001137395,0.2275639,0.00006005035,0.0001265705,0.0001967769,0.000004148387,0.000187451,0.002378023],"genre_scores_gemma":[0.978551,0.000007214284,0.02130364,0.00001114285,0.00005528807,0.00002095709,0.000006822132,0.0000158762,0.00002802612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8090104,"threshold_uncertainty_score":0.3359649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005866134191896754,"score_gpt":0.2234934028305007,"score_spread":0.217627268638604,"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."}}