{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003858449,0.0003283835,0.000351835,0.001399898,0.000326978,0.0008103094,0.0007420697,0.000414585,0.001665754],"category_scores_gemma":[0.01505773,0.0001901987,0.0003363357,0.001481385,0.000487568,0.0009569055,0.0006781123,0.0005810889,0.000313827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001360364,"about_ca_system_score_gemma":0.001504417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02204518,"about_ca_topic_score_gemma":0.01946197,"domain_scores_codex":[0.9989551,0.0005407253,0.00004128359,0.0001004449,0.0001812543,0.0001810881],"domain_scores_gemma":[0.9902993,0.006983604,0.001009744,0.0006014043,0.0008906418,0.000215391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004288331,0.0002204304,0.7384494,0.0002097638,0.0001573562,0.0006108555,0.001538941,0.09415933,0.001785332,0.02391658,0.002007523,0.1365157],"study_design_scores_gemma":[0.00001491011,0.0002127236,0.7601963,0.0001310003,0.00006249947,0.0001969288,0.004033044,0.2160882,0.004863423,0.01099567,0.003165707,0.00003960852],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885875,0.0003519822,0.008350861,0.0001013149,0.000003653002,0.00001996134,0.0002362813,0.0000181249,0.0023302],"genre_scores_gemma":[0.9953011,0.0001028915,0.00357711,0.00000619098,0.000001582242,0.00001092584,0.0002931334,0.000006989589,0.0007001738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02204518,"threshold_uncertainty_score":0.04383367,"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."}}