{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001903961,0.0005975989,0.000708042,0.0002448488,0.0007895697,0.000725395,0.001201496,0.0004458495,0.003469877],"category_scores_gemma":[0.00004090845,0.0006304522,0.0002660384,0.0007453077,0.0008642502,0.0007874922,0.0003827264,0.0007197055,0.006814396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002567054,"about_ca_system_score_gemma":0.0001763587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004044048,"about_ca_topic_score_gemma":0.003366459,"domain_scores_codex":[0.9943662,0.001133997,0.0007415825,0.001004044,0.001270908,0.001483303],"domain_scores_gemma":[0.9980793,0.0002018576,0.0003878615,0.0008330136,0.0001397195,0.0003582697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003347609,0.002120231,0.06402393,0.004095806,0.001187601,0.0001596924,0.2520125,0.0004969752,0.001165745,0.5997164,0.05741666,0.0172697],"study_design_scores_gemma":[0.001356331,0.0002010635,0.004102111,0.0007821682,0.0001055675,0.000003818445,0.007933687,0.0001920324,0.0005010422,0.001074064,0.983052,0.0006960831],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5520431,0.01450278,0.0001035392,0.05101428,0.004363375,0.002093149,0.0001747597,0.000361352,0.3753437],"genre_scores_gemma":[0.8782843,0.005989528,0.001371939,0.005882593,0.000496202,0.0001037103,0.0001219498,0.0001547745,0.107595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9256354,"threshold_uncertainty_score":0.9996147,"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."}}