{"id":"W4399090825","doi":"10.1332/policypress/9781447369257.002.0101","title":"Coming soon","year":2023,"lang":"en","type":"book-chapter","venue":"Policy Press eBooks","topic":"Socioeconomic Development in Asia","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","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":[0.0006084765,0.0007118328,0.0006109119,0.001242129,0.001969582,0.007073333,0.0008472496,0.002036779,0.6974216],"category_scores_gemma":[0.002602716,0.0002691872,0.0004618215,0.001655211,0.0006172757,0.00561489,0.003931271,0.00217309,0.4694583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001103931,"about_ca_system_score_gemma":0.001155977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002598203,"about_ca_topic_score_gemma":0.008343204,"domain_scores_codex":[0.9995273,0.00008685343,0.00003090609,0.00006903512,0.0002175686,0.00006838587],"domain_scores_gemma":[0.9990676,0.0001253094,0.00004525985,0.0001374705,0.0002987644,0.0003256038],"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":[0.000007532107,0.000009839387,0.00008346754,0.00007887836,0.000002118136,0.00004483385,0.0001262428,0.00001194824,0.00007519808,0.006231401,0.9424295,0.05089912],"study_design_scores_gemma":[0.000001008385,0.000001903271,0.0001369147,0.00003133396,4.667578e-7,0.000014135,0.00006820878,0.000004090482,0.00001204923,0.0004881679,0.9992405,0.000001119983],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005009999,0.00702844,0.0005137198,0.01601733,0.0213864,0.00007239116,0.001364042,0.0006356867,0.952481],"genre_scores_gemma":[0.001123561,0.001778612,0.0001230526,0.002033987,0.001256981,0.00002242267,0.0004101257,0.0002356154,0.9930158],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3025784,"threshold_uncertainty_score":0.4315914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1390116272258059,"score_gpt":0.3596917240241211,"score_spread":0.2206800967983153,"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."}}