{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001357187,0.0003689029,0.000449032,0.0002532525,0.0007191695,0.001981789,0.0009347715,0.0009799561,0.01056104],"category_scores_gemma":[0.0003743527,0.0004062885,0.0002169021,0.00002307025,0.0002890377,0.0006086827,0.0002783692,0.0008227884,0.006060828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008631846,"about_ca_system_score_gemma":0.001197639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004077065,"about_ca_topic_score_gemma":0.002388953,"domain_scores_codex":[0.9975846,0.0000494736,0.0005732245,0.0005705774,0.0005822608,0.0006398842],"domain_scores_gemma":[0.9985847,0.0000782522,0.0003853133,0.0003543691,0.0003135501,0.0002838191],"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":[0.000004809728,0.000005741495,0.00002507861,0.000007944567,0.00006739775,0.000009779892,0.001246789,4.779067e-7,1.365172e-7,0.06955507,0.8555876,0.07348916],"study_design_scores_gemma":[0.0002316209,0.000009962668,0.00002294492,0.0001221382,0.00002911983,4.423223e-7,0.0001411328,5.274442e-7,0.000003107393,0.02796231,0.9710195,0.0004571635],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001628801,0.00007416259,0.00002851481,0.000987844,0.006948867,0.0004296774,0.00003367935,0.0002749504,0.991206],"genre_scores_gemma":[0.0003229348,0.00001288154,0.0002457637,0.0003361947,0.007215289,0.00002051286,0.00009671137,0.00007861344,0.9916711],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1154319,"threshold_uncertainty_score":0.9998389,"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."}}