{"id":"W2315333911","doi":"10.5509/2014873509","title":"Modular Comparisons: Grounding and Gauging Southeast Asian Governance","year":2014,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"International Development and Aid","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Modular design; Corporate governance; Southeast asia; Political science; Business; Computer science; History; Ethnology; Finance; Operating system","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":[0.004066909,0.0004188536,0.0003716348,0.00394491,0.001083223,0.002533208,0.0008103479,0.0003859659,0.003705944],"category_scores_gemma":[0.01649421,0.000222445,0.0004054155,0.006648418,0.002131735,0.004263106,0.003211318,0.0006908874,0.0002294166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002166253,"about_ca_system_score_gemma":0.002090815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01863805,"about_ca_topic_score_gemma":0.03896001,"domain_scores_codex":[0.9983062,0.0008496383,0.00009609463,0.0003643717,0.0002309783,0.0001527332],"domain_scores_gemma":[0.9925442,0.002305927,0.00195769,0.001518783,0.001339123,0.0003342034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003053599,0.00007199521,0.7500334,0.0001147753,0.0002807109,0.0001185477,0.01349714,0.01491207,0.002291074,0.07154189,0.001775403,0.1450576],"study_design_scores_gemma":[0.0000353622,0.000350785,0.7984934,0.0001986253,0.0002382011,0.00005242163,0.01722244,0.06354991,0.002406813,0.109764,0.007641497,0.00004654417],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9528241,0.00011142,0.02525835,0.0002948589,0.00001628595,0.00007453709,0.00054992,0.0001228382,0.0207478],"genre_scores_gemma":[0.9914356,0.00002520482,0.007991624,0.00001299642,0.000004156926,0.00002392433,0.0001580322,0.00001326383,0.0003351559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01863805,"threshold_uncertainty_score":0.03705913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01411706546590563,"score_gpt":0.2489824878980586,"score_spread":0.2348654224321529,"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."}}