{"id":"W4387214020","doi":"10.4337/9781847203137.00006","title":"Acknowledgements","year":2006,"lang":"en","type":"book-chapter","venue":"Edward Elgar Publishing eBooks","topic":"Asian Industrial and Economic Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Chinese University of Hong Kong","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004799299,0.0008865779,0.001309207,0.002573055,0.001921808,0.003188776,0.002643981,0.001314275,0.4646145],"category_scores_gemma":[0.03405195,0.0003438124,0.0007397869,0.002502183,0.0007724484,0.002389687,0.004123532,0.002750626,0.3540983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002803549,"about_ca_system_score_gemma":0.005198867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00458564,"about_ca_topic_score_gemma":0.006425362,"domain_scores_codex":[0.9942737,0.0009194488,0.0004243887,0.0007860709,0.003223298,0.0003730192],"domain_scores_gemma":[0.9699299,0.002802935,0.0008594678,0.002181676,0.02045118,0.003774877],"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":[0.00005062087,0.00001477478,0.0004277082,0.0002412584,0.00000515735,0.0001738191,0.0003880477,0.00008452255,0.0003368047,0.007659477,0.9527012,0.03791659],"study_design_scores_gemma":[0.000006327049,0.000006724847,0.000348607,0.0001332958,0.000003361527,0.0001346139,0.0002605362,0.00004275847,0.0001034954,0.001455754,0.9974987,0.000005772646],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004528661,0.008806107,0.02257016,0.0997525,0.1257286,0.001846544,0.09633707,0.00598805,0.6344423],"genre_scores_gemma":[0.01989191,0.004211493,0.01587113,0.0179766,0.00777547,0.001444021,0.04819282,0.004110022,0.8805266],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5353855,"threshold_uncertainty_score":0.7636625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04070577101329165,"score_gpt":0.2536044124653408,"score_spread":0.2128986414520492,"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."}}