{"id":"W4413592537","doi":"10.64628/aak.k6cwjcu3c","title":"Sri Lanka : comment la population a mis fin à la « Gotacratie »","year":2022,"lang":"fr","type":"preprint","venue":"","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Sri lanka; Population; Political science; Geography; History; Sociology; Demography; Ancient history; South asia","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002283949,0.0006322131,0.0005797778,0.000792231,0.002900924,0.004554792,0.001582248,0.01082906,0.01357047],"category_scores_gemma":[0.01085285,0.00033783,0.0006334049,0.001937533,0.005122055,0.004362599,0.003218364,0.01109878,0.002471164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005256981,"about_ca_system_score_gemma":0.005716264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.196015,"about_ca_topic_score_gemma":0.1745947,"domain_scores_codex":[0.9985762,0.0003797168,0.0001447622,0.0002559855,0.0003106661,0.0003326755],"domain_scores_gemma":[0.9956186,0.002273947,0.0005756812,0.0002904191,0.0008957439,0.0003455466],"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":[0.000186392,0.0000141555,0.005692761,0.0008696553,0.0001485033,0.001994275,0.01267294,0.0004378518,0.000813735,0.08534835,0.8808743,0.01094725],"study_design_scores_gemma":[0.00007702268,0.00004346386,0.02018964,0.0007053682,0.0001203791,0.001176481,0.01685196,0.00029714,0.0009593626,0.01868912,0.9407294,0.0001607218],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.007551531,0.005931701,0.0001389629,0.9674247,0.004731239,0.000007254521,0.000567955,0.00004993366,0.01359678],"genre_scores_gemma":[0.33655,0.02319615,0.001041325,0.4909837,0.03406785,0.0001175855,0.0009014975,0.0003179871,0.1128238],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.196015,"threshold_uncertainty_score":0.3897483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.016575592134418,"score_gpt":0.2443548747274103,"score_spread":0.2277792825929923,"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."}}