{"id":"W3013926514","doi":"10.17118/11143/18900","title":"Changements climatiques, ressources naturelles et conflits armés","year":2019,"lang":"fr","type":"article","venue":"˜Le œclimatoscope","topic":"Transboundary Water Resource Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Political science; Forestry; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001639189,0.000335253,0.0004396471,0.00143373,0.001497044,0.002360919,0.0005912844,0.0006358578,0.009288197],"category_scores_gemma":[0.006929365,0.0002590985,0.000535898,0.002858432,0.001956083,0.001567372,0.001497532,0.001764184,0.0008124157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002289817,"about_ca_system_score_gemma":0.001679703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1040974,"about_ca_topic_score_gemma":0.1704213,"domain_scores_codex":[0.9983935,0.000495879,0.000097617,0.0003486074,0.0003942682,0.0002700883],"domain_scores_gemma":[0.9952757,0.001456829,0.001618961,0.0002755142,0.0008994812,0.0004734992],"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":[0.000311507,0.00009941409,0.8120872,0.001240785,0.0006243258,0.0005420617,0.03498988,0.001167663,0.001174369,0.02785787,0.011688,0.1082168],"study_design_scores_gemma":[0.000004118453,0.00005298398,0.9355856,0.0003230601,0.00004046426,0.0001707425,0.01119928,0.0002262939,0.0002973463,0.001556669,0.05050544,0.00003805985],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8921596,0.01956211,0.003229558,0.01202734,0.0006084074,0.00005653717,0.004844928,0.00008659187,0.06742486],"genre_scores_gemma":[0.9796885,0.006888657,0.0009144318,0.000655029,0.0001622412,0.00004964406,0.001499532,0.00004219635,0.01009986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1040974,"threshold_uncertainty_score":0.206983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02363925994147002,"score_gpt":0.3027665893429693,"score_spread":0.2791273294014993,"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."}}