{"id":"W7097781018","doi":"","title":"Aid, conflict and migration: the Canada Sri Lanka connection." Canadian Geographer/Le Géographe canadien 47(3","year":2003,"lang":"en","type":"article","venue":"","topic":"Health and Conflict Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sri lanka; Prosperity; Ethnic conflict; Multinational corporation; Government (linguistics); Liberalization; Social conflict","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":[0.0005652369,0.0002578677,0.0003089151,0.003336837,0.01018004,0.005437529,0.000711979,0.0009158528,0.01418175],"category_scores_gemma":[0.002343012,0.0003378976,0.0002297955,0.01064409,0.004632393,0.001786417,0.00339421,0.001794927,0.0004094644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04548568,"about_ca_system_score_gemma":0.07181868,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9914547,"about_ca_topic_score_gemma":0.9968407,"domain_scores_codex":[0.9991223,0.0001841955,0.00002776526,0.00005160009,0.0001582821,0.0004558091],"domain_scores_gemma":[0.9981484,0.0003555455,0.000268977,0.00003234844,0.0006201779,0.0005744516],"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":[0.0002318088,0.0001725572,0.5145639,0.00107714,0.0002083994,0.00329876,0.1257654,0.0005365064,0.0002716632,0.07196316,0.109279,0.1726318],"study_design_scores_gemma":[0.00002387221,0.00004198225,0.5345334,0.001272054,0.0001234384,0.00105162,0.2677443,0.0002589569,0.00009743153,0.00384214,0.1909107,0.00009993276],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.571788,0.1664925,0.0002044351,0.128763,0.0007010954,0.00007613314,0.002888699,0.00002663598,0.1290596],"genre_scores_gemma":[0.9013974,0.07993883,0.0002532582,0.002802781,0.0002252227,0.00003416759,0.0005322432,0.00001742772,0.01479875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04548568,"threshold_uncertainty_score":0.3300232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04644081171666765,"score_gpt":0.3294380191981106,"score_spread":0.2829972074814429,"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."}}