{"id":"W7028537088","doi":"","title":"Financing indigenous nationalism in Sri-Lanka: the Canadian-Tamil connection","year":2009,"lang":"en","type":"article","venue":"Arca (British Columbia Electronic Library Network)","topic":"Sustainable Finance and Green Bonds","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission","keywords":"Pretext; Government (linguistics); Circumstantial evidence; TSG101; Nucleofection; Population","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":[0.0007147204,0.000239784,0.0001802697,0.001108253,0.01420728,0.005047521,0.001177241,0.001062462,0.008908297],"category_scores_gemma":[0.002295699,0.0001943354,0.00016412,0.002009544,0.005775382,0.001403359,0.004742442,0.001934495,0.000233044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05020819,"about_ca_system_score_gemma":0.09075598,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9569956,"about_ca_topic_score_gemma":0.9849387,"domain_scores_codex":[0.9983445,0.0001720722,0.00002959739,0.00006019383,0.0001708669,0.00122265],"domain_scores_gemma":[0.9973441,0.0002782646,0.00030236,0.00005782531,0.0005073173,0.001510209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002004507,0.0002830485,0.1925537,0.001248118,0.0000885018,0.006704606,0.4773432,0.0005212658,0.001897355,0.1692195,0.03619105,0.1137491],"study_design_scores_gemma":[0.00002530581,0.00008175152,0.1508192,0.0006075428,0.00006132162,0.0009807984,0.5748199,0.000189643,0.0003683449,0.002638404,0.269321,0.00008672395],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8201299,0.0053495,0.0001473748,0.03287747,0.0001298066,0.0001005628,0.0002620744,0.0000206976,0.1409825],"genre_scores_gemma":[0.9860568,0.002848557,0.0001944508,0.001378224,0.0000248582,0.00002076172,0.00006095091,0.000006964473,0.009408476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05020819,"threshold_uncertainty_score":0.3642877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00686587020736411,"score_gpt":0.1639315969250061,"score_spread":0.157065726717642,"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."}}