{"id":"W7145970146","doi":"","title":"ラオス経済の転換と日本のODA","year":2023,"lang":"ja","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Southeast Asian Sociopolitical Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Economic inequality; Inequality; Quarter (Canadian coin); Sustainable development; Sustainable growth rate","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":[],"consensus_categories":[],"category_scores_codex":[0.0006921771,0.0001198788,0.000177252,0.003056497,0.001434225,0.004105845,0.0002685924,0.0002139518,0.01583167],"category_scores_gemma":[0.001545132,0.0001209581,0.0001769515,0.005543339,0.0006245348,0.002042452,0.0008488108,0.0002916825,0.002096178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002059155,"about_ca_system_score_gemma":0.002877242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03470573,"about_ca_topic_score_gemma":0.06533051,"domain_scores_codex":[0.9996338,0.00008477722,0.00004453548,0.00004403124,0.0001218037,0.00007108101],"domain_scores_gemma":[0.999035,0.0003019555,0.0002561874,0.00005295945,0.0002439362,0.0001100499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001720645,0.0002275463,0.6177055,0.0005738316,0.00006969545,0.0009983283,0.007658674,0.0009517244,0.001216862,0.068669,0.06671206,0.2350447],"study_design_scores_gemma":[0.00001749115,0.00009840674,0.5101489,0.0004292986,0.0000758086,0.0009434767,0.03929196,0.001876527,0.002209462,0.005588118,0.4392696,0.0000509424],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6933853,0.006559514,0.002239531,0.009176572,0.0003155395,0.0001072476,0.01267235,0.0001355967,0.2754083],"genre_scores_gemma":[0.9336235,0.007909244,0.003132237,0.0005404348,0.0001544614,0.0001066913,0.007817668,0.00002351958,0.04669222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03470573,"threshold_uncertainty_score":0.06900746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04154655903771551,"score_gpt":0.3295423375069489,"score_spread":0.2879957784692334,"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."}}